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We deliver professional services engagements to help our federal government customers build and productionize first-of-its-kind AI applications.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems.</li>\n<li>Own production rollouts of consumer and internally facing GenAI applications.</li>\n<li>Serve as a trusted technical advisor to customers across a variety of domains.</li>\n<li>Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.</li>\n<li>Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.</li>\n</ul>\n<p>What We Look For:</p>\n<ul>\n<li>Experience working with U.S. federal civilian, state, or local agencies.</li>\n<li>Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.</li>\n<li>Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.</li>\n<li>Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).</li>\n<li>Experience building production-grade machine learning deployments on AWS, Azure, or GCP.</li>\n<li>Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.</li>\n<li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.</li>\n<li>Passion for collaboration, life-long learning, and driving business value through AI.</li>\n</ul>\n<p>Pay Range Transparency:</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipates utilizing the full width of the range.</p>\n<p>The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Local Pay Range $180,656-$248,360 USD</p>\n<p>Benefits:</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p>For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion:</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.</p>\n<p>We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</p>\n<p>Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>\n<p>Compliance:</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c1802213-f81","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8415203002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GenAI","HuggingFace","LangChain","DSPy","pandas","scikit-learn","PyTorch","AWS","Azure","GCP","Graduate degree in Computer Science, Engineering, Statistics, Operations Research, etc."],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:10.995Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Maryland; Virginia; Washington, D.C."}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI, HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, AWS, Azure, GCP, Graduate degree in Computer Science, Engineering, Statistics, Operations Research, etc."},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c2a8bc1c-4bd"},"title":"Staff Software Engineer (L4)","description":"<p>Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team.</p>\n<p>Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.).</p>\n<p>Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences.</p>\n<p>We&#39;re building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation.</p>\n<p>This role focuses specifically on transforming how Twilio&#39;s Customer Support organization operates through AI-powered tools and agentic products.</p>\n<p>We are looking for Full-Stack Engineers who view AI as a fundamental shift in the software development lifecycle of engineering products and the delivery of beautiful, engaging user experiences.</p>\n<p>This is an opportunity to deliver innovative software products and solutions across every business function in the company such as Sales, Marketing, GTM, HR, Finance and Legal.</p>\n<p>Joining this team means building production-grade, full-stack AI applications. 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So, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn&#39;t what you&#39;re looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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You will collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems</li>\n<li>Own production rollouts of consumer and internally facing GenAI applications</li>\n<li>Serve as a trusted technical advisor to customers across a variety of domains</li>\n<li>Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally</li>\n<li>Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy</li>\n<li>Expertise in deploying production-grade GenAI applications, including evaluation and optimizations</li>\n<li>Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.</li>\n<li>Experience building production-grade machine learning deployments on AWS, Azure, or GCP</li>\n<li>Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience</li>\n<li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike</li>\n<li>Passion for collaboration, life-long learning, and driving business value through AI</li>\n</ul>\n<p>Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bb7aa015-076","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8298792002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GenAI","HuggingFace","LangChain","DSPy","pandas","scikit-learn","PyTorch","AWS","Azure","GCP"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:42:06.992Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, Australia"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI, HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, AWS, Azure, GCP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2cc0589e-956"},"title":"Sr. Frontend Engineer","description":"<p>As a Senior Frontend Engineer at WorkBoard, you will play a critical role in shaping the technical direction of our platform&#39;s user experience. You will lead the design and delivery of high-quality, performant, and scalable frontend systems , while collaborating closely with backend engineers to contribute across the full stack when needed.</p>\n<p>Beyond hands-on development, you will serve as a technical leader: guiding component architecture, mentoring engineers, and driving initiatives that raise the bar for UI quality and frontend engineering practices. This role requires strong ownership, deep problem-solving skills, and excellent communication. You will operate in a small, highly collaborative team where clarity, accountability, and impact matter.</p>\n<p>Hands-on experience building AI-powered features and using AI tools to improve engineering productivity is required.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead by example: contribute high-quality React code and set the standard for frontend craftsmanship across the platform</li>\n<li>Shape architecture: design scalable component systems, state management patterns, and frontend infrastructure that support long-term growth</li>\n<li>Mentor engineers: coach and support teammates through code reviews, design discussions, and problem-solving</li>\n<li>Own complex problems: drive investigation, debugging, and resolution of performance, rendering, and scalability challenges</li>\n<li>Drive execution: translate product and design requirements into clear technical designs and well-scoped Jira tickets</li>\n<li>Collaborate cross-functionally: work closely with product, design, and backend partners to deliver impactful, end-to-end solutions</li>\n<li>Establish best practices: improve standards around code quality, accessibility, performance, and reliability</li>\n<li>Champion improvement: introduce new tools, patterns, or approaches , including AI-enabled workflows , where they add real value</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of professional software engineering experience, with a strong focus on building and owning modern frontend applications</li>\n<li>Deep expertise in React and modern JavaScript/TypeScript, including component architecture, state management, and frontend application design</li>\n<li>Experience using AI-assisted development tools such as Claude Code or Cursor to accelerate frontend development and improve engineering productivity</li>\n<li>Strong product and design sensibility, with a high bar for UI quality, usability, consistency, and craft</li>\n<li>Proven track record designing frontend architectures that scale across teams, products, and complex user workflows</li>\n<li>Strong knowledge of performance optimization, accessibility, responsive design, and modern frontend best practices</li>\n<li>Deep debugging and problem-solving skills in browser-based applications, with the ability to quickly identify and resolve issues across frontend-backend boundaries</li>\n<li>Proficiency with GitHub-based development workflows, including pull requests, code review practices, branching strategy, and CI/CD automation using GitHub Actions</li>\n<li>Ability to work effectively with backend systems and APIs, contributing where needed while keeping frontend excellence as the primary focus</li>\n<li>Experience as a technical leader who can drive frontend direction, mentor engineers, and raise the quality bar across the team</li>\n<li>Excellent communication skills and the ability to work closely with design, product, and engineering partners</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience building or integrating AI-powered features</li>\n<li>Familiarity with LangGraph, LangChain, or similar agent-based frameworks</li>\n<li>Experience with data-rich UIs: dashboards, analytics, or complex data visualization</li>\n<li>Background in design systems or shared component libraries</li>\n<li>Experience with Cypress or end-to-end testing frameworks</li>\n<li>Background in DevOps and CI/CD practices</li>\n</ul>\n<p>Within Your First 6 Months:</p>\n<ul>\n<li>1 Month , Ramp up on systems, ship initial contributions, and build context across the platform and team.</li>\n<li>3 Months , Own features end-to-end, mentor peers, and influence frontend architecture decisions.</li>\n<li>6 Months , Lead a major frontend initiative, establish guardrails, and raise the bar on performance, scalability, and engineering practices , including thoughtful use of AI where valuable.</li>\n</ul>\n<p>Our Values:</p>\n<ul>\n<li>Humble experts</li>\n<li>Hungry for the opportunity</li>\n<li>Intellectually honest</li>\n<li>Operating as one happy team</li>\n</ul>\n<p>Awesome Benefits:</p>\n<ul>\n<li>Discretionary time off &amp; sick days</li>\n<li>Paid holidays</li>\n<li>Health insurance</li>\n<li>401(k) with employer matching</li>\n<li>Quarterly All-Hands meetings</li>\n<li>And much more!</li>\n</ul>\n<p>We are proud to be an equal opportunity workplace committed to building a team culture that celebrates learning, diversity and inclusion.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2cc0589e-956","directApply":true,"hiringOrganization":{"@type":"Organization","name":"WorkBoard","sameAs":"https://www.workboard.com/","logo":"https://logos.yubhub.co/workboard.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/workboard/jobs/8462238002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170k annual salary","x-skills-required":["React","JavaScript","TypeScript","Component architecture","State management","Frontend application design","AI-assisted development tools","GitHub-based development workflows","CI/CD automation","Backend systems and APIs","Technical leadership","Mentoring","Code reviews","Design discussions","Problem-solving","Performance optimization","Accessibility","Responsive design","Modern frontend best practices"],"x-skills-preferred":["LangGraph","LangChain","Agent-based frameworks","Data-rich UIs","Dashboards","Analytics","Complex data visualization","Design systems","Shared component libraries","Cypress","End-to-end testing frameworks","DevOps","CI/CD practices"],"datePosted":"2026-04-17T16:37:44.403Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"React, JavaScript, TypeScript, Component architecture, State management, Frontend application design, AI-assisted development tools, GitHub-based development workflows, CI/CD automation, Backend systems and APIs, Technical leadership, Mentoring, Code reviews, Design discussions, Problem-solving, Performance optimization, Accessibility, Responsive design, Modern frontend best practices, LangGraph, LangChain, Agent-based frameworks, Data-rich UIs, Dashboards, Analytics, Complex data visualization, Design systems, Shared component libraries, Cypress, End-to-end testing frameworks, DevOps, CI/CD practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_67e994a4-752"},"title":"Software Engineer – Full Stack (Sofia, Bulgaria)","description":"<p>Job Title: Software Engineer – Full Stack</p>\n<p>Work with purpose.</p>\n<p>WorkBoard&#39;s Strategy Execution Platform powers the digital operating rhythm for companies around the globe, providing organisation-wide clarity, alignment, and insights for growth. AstraZeneca, Ford, 3M, Intel and many others rely on WorkBoard&#39;s platform, playbook, and expertise to accelerate results by aligning OKRs, simplifying business reviews and scorecards, focusing weeklies on outcomes, and leveraging analytics – all with embedded AI. More than 15,000 people are certified in WorkBoard&#39;s OKR coaching and Outcome Mindset Methodology which enables their organisations to quickly gain the agility OKRs can provide.</p>\n<p>Based in Silicon Valley and founded in 2013, WorkBoard investors include Andreessen Horowitz, SoftBank, GGV Capital, Workday Ventures, M12 (Microsoft), Intel Capital, Silicon Valley Bank, and Capital One.</p>\n<p>The Opportunity</p>\n<p>As a Full Stack Software Engineer, you will help build and enhance WorkBoard&#39;s platform by contributing across frontend and backend systems. You&#39;ll work closely with engineering manager, product managers, and designers to deliver features that are scalable, reliable, and impactful for customers.</p>\n<p>Experience building AI-powered features or using AI tools to improve development workflows is a plus.</p>\n<p>What You&#39;ll Do</p>\n<p>· Contribute high-quality code across backend and frontend systems\n· Build and maintain scalable APIs, services, and data models\n· Collaborate with product and design partners to deliver user-facing features\n· Participate in code reviews and design discussions with the engineering team\n· Help investigate, debug, and resolve performance or reliability issues\n· Translate product requirements into clear technical solutions and well-scoped Jira tickets\n· Follow and contribute to best practices around code quality, testing, and observability\n· Explore new tools and approaches,including AI-enabled workflows,where they add value</p>\n<p>What You Bring</p>\n<p>· 3–5 years of professional software engineering experience with full stack exposure\n· Strong experience with Node.js and modern JavaScript/TypeScript development\n· Experience building user interfaces with React and modern frontend patterns\n· Production experience with PHP and MySQL is plus\n· Working knowledge of Python for backend services, scripting, or integrations\n· Familiarity with deploying and operating systems on Azure Cloud\n· Solid problem-solving and debugging skills across the stack\n· Strong collaboration and communication skills</p>\n<p>Nice to Have</p>\n<p>· Solid design principles and coding fundamentals\n· Experience using AI tools to improve engineering velocity and code quality\n· Exposure to DevOps and CI/CD practices\n· Familiarity with LangGraph, LangChain, or similar agent-based frameworks</p>\n<p>Within Your First 6 Months</p>\n<p>1 Month – Ramp up on systems, ship initial contributions, and build context across the platform and team.</p>\n<p>3 Months – Own features end-to-end with support from teammates, contribute actively to design discussions, and deepen full stack expertise.</p>\n<p>6 Months – Drive meaningful projects independently, improve engineering practices, and help raise the bar on performance, scalability, and thoughtful AI adoption.</p>\n<p>Our Values – We Live By The 4 Hs</p>\n<p>· Humble experts\n· Hungry for the opportunity\n· Intellectually honest\n· Operating as one happy team</p>\n<p>A Few Of Our Awesome Benefits</p>\n<p>· 25 days paid vacation leave\n· Hybrid work model - we work from the office twice a week\n· Flexible working hours\n· Additional Health insurance with Bulstrad Life\n· Quarterly All-Hands meetings</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_67e994a4-752","directApply":true,"hiringOrganization":{"@type":"Organization","name":"WorkBoard","sameAs":"https://www.workboard.com/","logo":"https://logos.yubhub.co/workboard.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/workboard/jobs/8406649002","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Node.js","JavaScript","TypeScript","React","PHP","MySQL","Python","Azure Cloud"],"x-skills-preferred":["AI tools","DevOps","CI/CD practices","LangGraph","LangChain"],"datePosted":"2026-04-17T16:37:32.029Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bulgaria - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Node.js, JavaScript, TypeScript, React, PHP, MySQL, Python, Azure Cloud, AI tools, DevOps, CI/CD practices, LangGraph, LangChain"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d191fa1-762"},"title":"M&A Tech Engineer","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>Role Summary:</p>\n<p>As M&amp;A Tech Engineer, you will be at the forefront of our growth strategy, driving innovation and expansion through strategic acquisitions. This role combines a strong technical background with strategic vision.</p>\n<p>Responsibilities:</p>\n<ul>\n<li><p>Identify and evaluate M&amp;A opportunities that align with our technical and business goals, impacting Mistral&#39;s ability to innovate and expand our market presence.</p>\n</li>\n<li><p>Collaborate with Product, Engineering, Legal, and Finance teams to assess potential acquisition targets from a technical perspective.</p>\n</li>\n<li><p>Execute on high-potential acquisition opportunities to enhance our technical capabilities, expand our product offerings, and strengthen our position in the market.</p>\n</li>\n<li><p>Work with our engineering team to assess technical synergies and integration path.</p>\n</li>\n<li><p>Partner with Tech leads to define and adjust our strategic acquisition categories and criteria.</p>\n</li>\n<li><p>Pitch the target post your first technical evaluation to Product and Engineering leads.</p>\n</li>\n<li><p>Provide technical insights to inform investment decisions and integration planning.</p>\n</li>\n<li><p>Work with our CEO, CTO, and other senior leaders to align M&amp;A strategy with business objectives.</p>\n</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li><p>You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.).</p>\n</li>\n<li><p>You have deep understanding of concepts and algorithms underlying machine learning and LLMs.</p>\n</li>\n<li><p>You are knowledgeable in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</p>\n</li>\n<li><p>You can read Python code and are familiar with agents framework such as Langchain, vector DBs.</p>\n</li>\n<li><p>You are curious and knowledgeable about the AI ecosystem and discovering start-ups proposing innovative solutions to tough AI issues.</p>\n</li>\n<li><p>You are curious about M&amp;A, venture capital, or related fields and willing to transfer your technicals skills into sourcing, evaluating, and executing high-impact deals.</p>\n</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company</p>\n</li>\n<li><p>Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership</p>\n</li>\n<li><p>Transportation: Monthly contribution to a mobility pass via Betterway</p>\n</li>\n<li><p>Health: Full health insurance for you and your family</p>\n</li>\n<li><p>Parental: Generous parental leave policy</p>\n</li>\n<li><p>Visa sponsorship</p>\n</li>\n<li><p>Coaching: we offer BetterUp coaching on a voluntary basis</p>\n</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7d191fa1-762","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/aef81704-b44b-4a42-bdb0-a895cf709df6","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Machine Learning","LLMs","APIs","Back-end and front-end interfaces","Langchain","Vector DBs"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:47:39.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, LLMs, APIs, Back-end and front-end interfaces, Langchain, Vector DBs"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2e9a6822-21b"},"title":"Applied AI, Forward Deployed Machine Learning Engineer","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.</p>\n<p>Responsibilities</p>\n<p>• Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.</p>\n<p>• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</p>\n<p>• Individually help deploy into production use cases with a considerable business impact across various industries.</p>\n<p>• Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.</p>\n<p>• Be involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.</p>\n<p>About You</p>\n<p>• You are fluent in English.</p>\n<p>• You hold a PhD / master in AI / data science.</p>\n<p>• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.</p>\n<p>• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.</p>\n<p>• You have a deep understanding of concepts and algorithms underlying machine learning and LLMs.</p>\n<p>• You&#39;re experienced with building and deploying LLMs or NLP applications.</p>\n<p>• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</p>\n<p>• You have strong technical coding skills in Python.</p>\n<p>• You have experience with deep learning with Pytorch.</p>\n<p>• You have experience with agents framework such as Langchain, vector DBs.</p>\n<p>Ideally You Have:</p>\n<p>• Contributed to open-source projects in particular in the space of LLMs.</p>\n<p>• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.</p>\n<p>Benefits</p>\n<p>• Competitive salary.</p>\n<p>• Generous Equity.</p>\n<p>• Health: Sun Life.</p>\n<p>• Pension: Match up to 6% of your contributions.</p>\n<p>• PTO: 25 days.</p>\n<p>• Transportation: Allowance public transportation or Parking charges reimbursed.</p>\n<p>• Coaching: we offer Betterup coaching on a voluntary basis.</p>\n<p>• Sport: 145 CAD/month reimbursement for gym membership.</p>\n<p>• Meal stipend: 480 CAD monthly allowance for meals (solution might evolve as we grow bigger).</p>\n<p>By applying, you agree to our Applicant Privacy Policy.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2e9a6822-21b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/a73cb128-b07e-437c-b82d-57b06661c52b","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Pytorch","Langchain","vector DBs","Fine Tuning LLMs","RAG or agentic use cases","machine learning","8400","NLP applications","APIs","back-end and front-end interfaces"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:46:49.994Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Pytorch, Langchain, vector DBs, Fine Tuning LLMs, RAG or agentic use cases, machine learning, 8400, NLP applications, APIs, back-end and front-end interfaces"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_423610cf-92b"},"title":"Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA","description":"<p>About Mistral AI\nMistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers.</p>\n<p>In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle,from pre-sales to post-implementation,while collaborating closely with research, product, and engineering teams to shape the future of our offerings.</p>\n<p>As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.</p>\n</li>\n<li><p>Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.</p>\n</li>\n<li><p>Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.</p>\n</li>\n<li><p>Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.</p>\n</li>\n<li><p>Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.</p>\n</li>\n<li><p>Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.</p>\n</li>\n</ul>\n<p>How We Work in Applied AI</p>\n<ul>\n<li><p>We care about people and outputs. What matters is what you ship, not the time you spend on it.</p>\n</li>\n<li><p>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.</p>\n</li>\n<li><p>Always ask why. The best solutions come from deep understanding, not from copying what worked before.</p>\n</li>\n<li><p>We say what we mean. Feedback is direct, timely, and given because we care.</p>\n</li>\n<li><p>No politics. 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This role bridges the worlds of AI infrastructure and distributed data systems, guiding how Alluxio evolves to serve next-generation model architectures and large-scale data flows.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Define the long-term vision and roadmap for Alluxio&#39;s AI data platform, covering inference, training, and agentic workloads.</li>\n<li>Collaborate with engineering to design features that deliver high-throughput, low-latency data access (e.g., GPU-aware caching, streaming reads, tiered prefetching).</li>\n<li>Ensure seamless integration with frameworks like PyTorch, TensorFlow, Ray, and Triton; evolve Alluxio&#39;s APIs for AI-native workloads.</li>\n<li>Engage directly with enterprise AI teams to understand workload patterns, validate impact, and prioritize roadmap direction.</li>\n<li>Stay ahead of trends in multi-model serving, retrieval-augmented generation (RAG), and agentic orchestration; translate them into actionable product plans.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5–9 years of experience in product management or technical leadership within AI infrastructure, ML platforms, or distributed systems.</li>\n<li>Strong understanding of AI/ML workflows , from model training and deployment to inference and data-access pipelines.</li>\n<li>Proven track record of delivering infrastructure features that improve latency, GPU utilization, or total cost of ownership.</li>\n<li>Technical fluency with distributed systems, caching, and cloud orchestration (Kubernetes, AWS/GCP/Azure).</li>\n<li>Familiarity with AI frameworks such as PyTorch, TensorFlow, Triton, Ray, or LangChain.</li>\n<li>Exceptional communication and strategic thinking , ability to translate complex systems work into clear, prioritized roadmaps.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Shape how the world&#39;s most advanced AI systems access and process data.</li>\n<li>Work at the intersection of distributed systems, AI acceleration, and open source.</li>\n<li>Collaborate with world-class engineers, researchers, and customers driving the AI frontier.</li>\n<li>Competitive compensation and equity package with comprehensive benefits.</li>\n<li>A culture built on curiosity, empathy, and deep technical rigor.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3c4831ed-fa8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Alluxio","sameAs":"https://alluxio.io","logo":"https://logos.yubhub.co/alluxio.io.png"},"x-apply-url":"https://jobs.lever.co/alluxio/e7e0f8a4-83ed-416b-9f95-7f3ed8abfa52","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Distributed systems","Caching","Cloud orchestration","Kubernetes","AWS/GCP/Azure","PyTorch","TensorFlow","Triton","Ray","LangChain"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:15:34.231Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Distributed systems, Caching, Cloud orchestration, Kubernetes, AWS/GCP/Azure, PyTorch, TensorFlow, Triton, Ray, LangChain"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_91578588-736"},"title":"Principal AI Engineer – Enterprise Agentic AI","description":"<p>Engineer the Future with Us</p>\n<p>We currently have 614 open roles</p>\n<p><strong>Principal AI Engineer – Enterprise Agentic AI</strong></p>\n<p><strong>Job Summary</strong></p>\n<p>You are a highly skilled, hands-on engineer with a passion for embedding advanced AI into the heart of enterprise business systems. 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Our team partners closely with business stakeholders and platform owners to deliver agentic AI workflows that create measurable business value. We are passionate about innovation, operational excellence, and setting the standard for enterprise AI adoption.</p>\n<p><strong>Rewards and Benefits</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_91578588-736","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/hyderabad/principal-ai-engineer-enterprise-agentic-ai/44408/93375604480","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","C#","Microsoft AI Copilot","SAP BTP","Salesforce AI","Microservices","API development","CI/CD pipelines","Cloud deployments","SQL","NoSQL","Vector databases"],"x-skills-preferred":["LangChain","LangGraph","LlamaIndex","MCP","A2A","Legal","Finance","Sales","HR"],"datePosted":"2026-04-05T13:21:38.055Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C#, Microsoft AI Copilot, SAP BTP, Salesforce AI, Microservices, API development, CI/CD pipelines, Cloud deployments, SQL, NoSQL, Vector databases, LangChain, LangGraph, LlamaIndex, MCP, A2A, Legal, Finance, Sales, HR"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90f641e9-987"},"title":"AI/LLM Software Developer - Verification Frontend","description":"<p>Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing.</p>\n<p>They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.</p>\n<p><strong>Job Description</strong></p>\n<p><strong>Date posted</strong>: 03/29/2026</p>\n<p><strong>We Are:</strong></p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p><strong>You Are:</strong></p>\n<p>You are a forward-thinking engineer with a passion for leveraging cutting-edge AI technologies to revolutionize electronic design automation and verification. You thrive in dynamic environments where innovation, collaboration, and continuous learning are valued. Your experience in verification frontend flows and AI/ML frameworks enables you to bridge the gap between traditional engineering practices and intelligent automation. You are comfortable working across diverse teams, collaborating with design, verification, CAD, and methodology experts to identify impactful automation opportunities. You possess strong analytical skills, enabling you to dissect complex verification challenges and develop scalable GenAI solutions. Your commitment to professional growth is evident in your eagerness to stay current with the latest advancements in LLMs, GenAI, and verification technology. With a keen eye for detail and a drive to deliver high-quality results, you are adept at integrating AI-driven capabilities into established workflows, elevating productivity and efficiency. You value inclusivity and diverse perspectives, and you are motivated by the opportunity to shape the future of engineering through innovative, intelligent solutions.</p>\n<p><strong>What You’ll Be Doing:</strong></p>\n<ul>\n<li>Develop and deploy LLM/GenAI-based solutions to enhance verification productivity across static, formal, and simulation-based flows in EDA tools.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with design, verification, CAD, and methodology teams to identify high-impact areas for AI-assisted automation.</li>\n</ul>\n<ul>\n<li>Build tools and frameworks to generate or refine assertions, constraints, checkers, and test intent, summarize design/spec content, and analyze logs, failures, and coverage gaps.</li>\n</ul>\n<ul>\n<li>Integrate LLM-driven capabilities into existing verification flows, tools, and automation infrastructure, ensuring seamless adoption.</li>\n</ul>\n<ul>\n<li>Develop and maintain scripts, data pipelines, and evaluation frameworks for AI-assisted verification use cases.</li>\n</ul>\n<ul>\n<li>Stay current with advances in LLMs, GenAI, verification technology, and digital design methodologies to inform best practices.</li>\n</ul>\n<ul>\n<li>Participate in technical reviews and help define scalable AI adoption strategies within verification environments.</li>\n</ul>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Accelerate verification planning, setup, and closure, enabling faster time-to-market for complex digital designs.</li>\n</ul>\n<ul>\n<li>Enhance productivity and efficiency for engineering teams through intelligent automation and AI-driven solutions.</li>\n</ul>\n<ul>\n<li>Reduce manual effort and potential errors in verification by automating routine and complex tasks.</li>\n</ul>\n<ul>\n<li>Improve coverage analysis, debug processes, and testbench/content generation, resulting in higher quality silicon chips.</li>\n</ul>\n<ul>\n<li>Drive innovation in verification methodologies by integrating state-of-the-art GenAI capabilities.</li>\n</ul>\n<ul>\n<li>Foster cross-functional collaboration, contributing to robust and scalable verification strategies.</li>\n</ul>\n<ul>\n<li>Support Synopsys’ leadership in EDA technology and AI-driven engineering solutions.</li>\n</ul>\n<p><strong>What You’ll Need:</strong></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.</li>\n</ul>\n<ul>\n<li>5–8 years of experience in EDA software development with prior experience in developing GenAI-based tools.</li>\n</ul>\n<ul>\n<li>Hands-on experience with LLM/GenAI or AI/ML frameworks/tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent.</li>\n</ul>\n<ul>\n<li>Proficiency in C++ and familiarity with Verilog, VHDL, or SystemVerilog.</li>\n</ul>\n<ul>\n<li>Strong understanding of verification frontend methodologies, including static analysis (CDC/RDC/Lint), formal/property-based verification, and simulation bring-up/debug.</li>\n</ul>\n<ul>\n<li>Experience with cloud or scalable compute platforms (AWS, GCP, Azure) is a plus.</li>\n</ul>\n<ul>\n<li>Familiarity with Agile development methodologies is desirable.</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<ul>\n<li>Innovative thinker with a passion for applying AI to real-world engineering challenges.</li>\n</ul>\n<ul>\n<li>Effective communicator, able to convey complex technical concepts to diverse audiences.</li>\n</ul>\n<ul>\n<li>Collaborative team player who thrives in cross-functional environments.</li>\n</ul>\n<ul>\n<li>Strong problem-solving abilities and analytical mindset.</li>\n</ul>\n<ul>\n<li>Adaptable, eager to learn, and comfortable with ambiguity in fast-evolving technology landscapes.</li>\n</ul>\n<ul>\n<li>Self-driven and proactive, with a commitment to delivering impactful solutions.</li>\n</ul>\n<p><strong>The Team You’ll Be A Part Of:</strong></p>\n<p>You will join a collaborative and innovative engineering team focused on advancing verification productivity through AI-driven solutions. The team works closely with design, verification, CAD, and methodology groups to identify and implement high-impact automation strategies. Together, you will drive the adoption of GenAI technologies within Synopsys’ EDA ecosystem, fostering a culture of continuous improvement and technological excellence.</p>\n<p><strong>Rewards and Benefits:</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p>At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.</p>\n<p><strong>Benefits</strong></p>\n<p>At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We&#39;re proud to provide the comprehensive benefits and rewards that our team truly deserves.</p>\n<p>Visit Benefits Page</p>\n<ul>\n<li>### Health &amp; Wellness</li>\n</ul>\n<p>Comprehensive medical and healthcare plans that work for you and your family.</p>\n<ul>\n<li>### Time Away</li>\n</ul>\n<p>In addition to company holidays, we have ETO and FTO Programs.</p>\n<ul>\n<li>### Family Support</li>\n</ul>\n<p>Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.</p>\n<ul>\n<li>### ESPP</li>\n</ul>\n<p>Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.</p>\n<ul>\n<li>### Retirement Plans</li>\n</ul>\n<p>Save for your future with our retirement plans that vary by region and country.</p>\n<ul>\n<li>### Compensation</li>\n</ul>\n<p>Competitive salaries.</p>\n<p>\\<em>\\</em> Benefits vary by country and region - check with your recruiter to confirm</p>\n<p><strong>Get an idea of what your daily routine <strong>around the office</strong> can be like</strong></p>\n<p>\\ Explore <strong>Noida</strong></p>\n<p>View Map</p>\n<p>---</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_90f641e9-987","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/noida/ai-llm-software-developer-verification-frontend/44408/93375604432","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["LLM/GenAI","PyTorch","TensorFlow","Hugging Face","LangChain","C++","Verilog","VHDL","SystemVerilog","static analysis","formal/property-based verification","simulation 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are robust, scalable, and cost-efficient.</p>\n<p>Responsibilities:</p>\n<p>Partner with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows &amp; solutions.</p>\n<p>Design and implement agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.</p>\n<p>Build and maintain production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).</p>\n<p>Develop APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.</p>\n<p>Implement CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.</p>\n<p>Establish robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and 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LangGraph.</p>\n<p>Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.</p>\n<p>Proven experience deploying and operating ML systems in production (batch and real-time).</p>\n<p>Familiarity with RAG architectures, prompt engineering, and evaluation techniques.</p>\n<p>Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).</p>\n<p>Excellent communication skills and ability to work with non-technical stakeholders.</p>\n<p>In addition to the above, we would LOVE if you have:</p>\n<p>Experience with vector databases and retrieval strategies.</p>\n<p>Knowledge of recommender systems and ranking models.</p>\n<p>Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).</p>\n<p>Exposure to feature stores, data lineage, and observability stacks.</p>\n<p>Experience in e-commerce or retail environments.</p>\n<p>Demonstrable ability to weigh up build/build/configure decisions in the LLM space.</p>\n<p>Why join us?</p>\n<p>Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves.</p>\n<p>We’re a hybrid model with flexibility, allowing you to work how best suits you.</p>\n<p>25 days holiday (plus bank holidays) with an additional day to celebrate your birthday.</p>\n<p>Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey.</p>\n<p>Financial security and planning with our pension and life assurance for all.</p>\n<p>Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues.</p>\n<p>Bring your furry friend to work with you on our allocated dog friendly days and spaces.</p>\n<p>And not to forget our generous product discount and gifting!</p>\n<p>At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves.</p>\n<p>We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce.</p>\n<p>By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.</p>\n<p>If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e8d98a5b-1ea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Charlotte Tilbury 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ensuring alignment with Mistral’s product roadmap and open-source initiatives.</p>\n</li>\n<li><p>Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.</p>\n</li>\n<li><p>Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.</p>\n</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li><p>You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.</p>\n</li>\n<li><p>You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.</p>\n</li>\n<li><p>You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, 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Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a global company with teams distributed between France, USA, UK, Germany and Singapore. 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creates playbooks, not follows them.</li>\n</ul>\n<ul>\n<li>Fluent in English; confident working across diverse, cross-cultural teams in Asia.</li>\n</ul>\n<p><strong>Nice-to-Have</strong></p>\n<ul>\n<li>Experience with open-weight LLMs or open-source AI stacks (Mistral, Hugging Face, LangChain, vLLM, RAG frameworks).</li>\n</ul>\n<ul>\n<li>Prior involvement in AI Lab, AI Factory, or Sovereign Cloud deployments.</li>\n</ul>\n<ul>\n<li>Familiarity with data governance, model evaluation, and GPU sizing for large-scale inference.</li>\n</ul>\n<ul>\n<li>Network across GSIs and infrastructure partners in Asia</li>\n</ul>\n<ul>\n<li>Exposure to multi-region partner programs or joint GTM initiatives in APJ.</li>\n</ul>\n<ul>\n<li>Bonus languages: Korean, Japanese, or Mandarin for regional partner engagement.</li>\n</ul>\n<p>What we offer</p>\n<ul>\n<li>💰 Competitive cash salary and equity</li>\n</ul>\n<ul>\n<li>🚑 Health Insurance : Best in Class</li>\n</ul>\n<ul>\n<li>🥎 Sport : $90 for gym membership allowance</li>\n</ul>\n<ul>\n<li>🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)</li>\n</ul>\n<ul>\n<li>🚴 Transportation : $120/month for public transport or Parking charges reimbursed</li>\n</ul>\n<ul>\n<li>🏝️ PTO: 18 per year</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_290c3d28-4b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers"},"x-apply-url":"https://jobs.lever.co/mistral/fe3542b5-4f99-4d62-af6a-fbdfd13bf0e4","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GenAI/LLM expertise","RAG","fine-tuning","prompt engineering","model evaluation","deployment patterns","AI/ML infrastructure","GPU clusters","cloud platforms","model deployment frameworks","co-designing/deploying joint solutions","ecosystem partners","Nvidia","Dell","AWS","Accenture"],"x-skills-preferred":["open-weight LLMs","open-source AI stacks","Mistral","Hugging Face","LangChain","vLLM","RAG frameworks","data governance","model evaluation","GPU sizing","large-scale inference","GSIs","infrastructure partners","multi-region partner programs","joint GTM initiatives","APJ","Korean","Japanese","Mandarin"],"datePosted":"2026-03-10T11:27:47.209Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI/LLM expertise, RAG, fine-tuning, prompt engineering, model evaluation, deployment patterns, AI/ML infrastructure, GPU clusters, cloud platforms, model deployment frameworks, co-designing/deploying joint solutions, ecosystem partners, Nvidia, Dell, AWS, Accenture, open-weight LLMs, open-source AI stacks, Mistral, Hugging Face, LangChain, vLLM, RAG frameworks, data governance, model evaluation, GPU sizing, large-scale inference, GSIs, infrastructure partners, multi-region partner programs, joint GTM initiatives, APJ, Korean, Japanese, Mandarin"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bf520805-872"},"title":"Applied AI, Forward Deployed Machine Learning Engineer","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. 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The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.</p>\n</li>\n<li><p>Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</p>\n</li>\n<li><p>Individually help deploy into production use cases with a considerable business impact across various industries.</p>\n</li>\n<li><p>Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases.</p>\n</li>\n<li><p>Involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.</p>\n</li>\n</ul>\n<p>About You</p>\n<ul>\n<li><p>You are fluent in English.</p>\n</li>\n<li><p>You hold a PhD / master in AI / data science.</p>\n</li>\n<li><p>You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.</p>\n</li>\n<li><p>You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.</p>\n</li>\n<li><p>You have deep understanding of concepts and algorithms underlying machine learning and LLMs.</p>\n</li>\n<li><p>You&#39;re experienced with building and deploying LLMs or NLP applications.</p>\n</li>\n<li><p>You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.</p>\n</li>\n<li><p>You have strong technical coding skills in Python.</p>\n</li>\n<li><p>You have experience with deep learning with Pytorch.</p>\n</li>\n<li><p>You have experience with agents framework such as Langchain, vector DBs.</p>\n</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li><p>Competitive cash salary and equity</p>\n</li>\n<li><p>Health Insurance</p>\n</li>\n<li><p>Sport: $90 for gym membership allowance</p>\n</li>\n<li><p>Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)</p>\n</li>\n<li><p>Transportation: $120/month for public transport or Parking charges reimbursed</p>\n</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bf520805-872","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai"},"x-apply-url":"https://jobs.lever.co/mistral/6fc7ccb5-47bb-4eab-aea0-55929403315d","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Fine Tuning LLMs","Advanced RAG or agentic use cases","Deep understanding of concepts and algorithms underlying machine learning and LLMs","Building and deploying LLMs or NLP applications","AI or machine learning product implementation with APIs, back-end and front-end interfaces","Python","Deep learning with Pytorch","Agents framework such as Langchain, vector DBs"],"x-skills-preferred":[],"datePosted":"2026-03-10T11:26:56.634Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Fine Tuning LLMs, Advanced RAG or agentic use cases, Deep understanding of concepts and algorithms underlying machine learning and LLMs, Building and deploying LLMs or NLP applications, AI or machine learning product implementation with APIs, back-end and front-end interfaces, Python, Deep learning with Pytorch, Agents framework such as Langchain, vector DBs"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f3d07174-85f"},"title":"Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. 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You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.</p>\n</li>\n<li><p>Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.</p>\n</li>\n<li><p>Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.</p>\n</li>\n<li><p>Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.</p>\n</li>\n<li><p>Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.</p>\n</li>\n<li><p>Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.</p>\n</li>\n</ul>\n<p>How We Work in Applied AI</p>\n<ul>\n<li><p>We care about people and outputs. What matters is what you ship, not the time you spend on it.</p>\n</li>\n<li><p>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.</p>\n</li>\n<li><p>Always ask why. The best solutions come from deep understanding, not from copying what worked before.</p>\n</li>\n<li><p>We say what we mean. Feedback is direct, timely, and given because we care.</p>\n</li>\n<li><p>No politics. Low ego, high standards.</p>\n</li>\n<li><p>We embrace an unstructured environment and find joy in it.</p>\n</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li><p>You are fluent in English.</p>\n</li>\n<li><p>You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.</p>\n</li>\n<li><p>You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.</p>\n</li>\n<li><p>You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.</p>\n</li>\n<li><p>You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.</p>\n</li>\n<li><p>You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). 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Your recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ca788431-240","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/yerevan/principal-ai-genai-engineer/44408/91688698208","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Machine learning","GenAI","TensorFlow","PyTorch","LangChain/LangGraph","AutoGen","LLM models","Data structures","Algorithms","Design patterns","Cloud platforms","Containerization","Version control systems","Agile","Kanban","Scrum"],"x-skills-preferred":["Semiconductor IPs","EDA tools","Statistical analysis","Data mining","Data visualization"],"datePosted":"2026-03-09T11:03:27.017Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Yerevan, Armenia"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine learning, GenAI, TensorFlow, PyTorch, LangChain/LangGraph, AutoGen, LLM models, Data structures, Algorithms, Design patterns, Cloud platforms, Containerization, Version control systems, Agile, Kanban, Scrum, Semiconductor IPs, EDA tools, Statistical analysis, Data mining, Data visualization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c043b353-08f"},"title":"Scaled Support Specialist","description":"<p>Your job is to produce a job description for the job seeker. 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For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.  Do not invent information that is not in the original ad.  ## <strong>About the Role</strong>  We&#39;re looking for a Scaled Support Specialist who lives at the intersection of deep technical troubleshooting and exceptional human communication. You&#39;ll be the front line for developers integrating with OpenRouter&#39;s API — diagnosing complex issues across dozens of model providers, untangling new edge cases, and making sure every developer who reaches out feels like they have a partner, not a ticket number.  This is not a scripted helpdesk role. Our users are highly capable engineers building the next generation of AI applications, which means the problems they bring to us are complex, nuanced, and frequently novel. You&#39;ll encounter issues daily where there is no runbook. You&#39;ll need to figure it out, often with incomplete information, and usually before anyone else on the team has seen it either.  If you&#39;re the kind of person who reads API changelogs for fun, has strong opinions about error message quality, and gets genuine satisfaction from turning a frustrated developer into a happy one — keep reading.  ## <strong>Key Responsibilities</strong>  ### <strong>Troubleshooting &amp; Problem Solving</strong> (Core Focus)  - Diagnose and resolve complex technical issues across OpenRouter&#39;s API, spanning multiple LLM providers - Reproduce bugs in ambiguous environments — different SDKs, languages, frameworks, and auth configurations — using tools like `curl`, Postman, and small test apps - Read and interpret logs, headers, and request traces; identify whether the problem is client-side, OpenRouter-side, or an upstream provider issue vs. a user misconfiguration - Turn &quot;it doesn&#39;t work&quot; into actionable findings: exact steps to reproduce, clear hypotheses, and verified fixes or workarounds  ### <strong>Developer Communication &amp; Advocacy</strong>  - Respond to developer inquiries across support channels (email, Discord, GitHub) with clarity, empathy, and technical precision - Translate complex technical root causes into human-friendly explanations - Set expectations on timelines and next steps; provide proactive updates and close the loop - Identify patterns in support requests and advocate internally for documentation improvements, API design changes, or better messages  ### <strong>Self-Directed Research &amp; Learning</strong>  - Stay current with the rapidly evolving LLM ecosystem - Develop deep expertise in OpenRouter&#39;s routing logic, fallback behavior, rate limiting, streaming (SSE), and billing systems with minimal hand-holding  ### <strong>Bridge to Product &amp; Engineering</strong>  - Spot systemic issues underneath individual tickets and push for the fix that prevents 50 more - Identify trends in support volume to capture product feedback and inform roadmap priorities - Collaborate on improving the developer experience  ## <strong>About You</strong>  ### <strong>Required:</strong>  - 4+ years in a technical support, developer support, solutions engineering, or similar role — ideally supporting an API or developer tools product - Exceptional troubleshooting instincts - Strong API fluency - Proficiency in at least one scripting language (Python or TypeScript) - Excellent written communication - Comfort with ambiguity - Genuine passion for AI and LLMs  ### <strong>Nice-to-Haves:</strong>  - Familiarity with the OpenAI SDK / Chat Completions API format - Experience with AI/ML frameworks like LangChain, LlamaIndex, or Hugging Face - Experience with observability tools (logging, tracing, metrics) - Experience scaling support operations — e.g., implementing AI-assisted support bots, building internal support dashboards, or creating automated triage workflows - Contributions to open-source projects or developer communities - Background in or exposure to ML/AI concepts beyond just using APIs (benchmarking, evals, fine-tuning)  ## <strong>Why OpenRouter</strong>  - Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs. - High ownership and autonomy to define how developer education and community scale. - Opportunity to shape a foundational function at a fast-growing company. - Fully remote team with a culture of autonomy and trust. - Competitive compensation, including base salary and equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c043b353-08f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenRouter","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openrouter.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openrouter/89ff6b47-ba08-4418-b24b-c136dbf2ef82","x-work-arrangement":"Remote","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":null,"x-skills-required":["API fluency","scripting language (Python or TypeScript)","exceptional troubleshooting instincts","strong API fluency","excellent written communication"],"x-skills-preferred":["OpenAI SDK / Chat Completions API format","AI/ML frameworks like LangChain, LlamaIndex, or Hugging Face","observability tools (logging, tracing, metrics)","scaling support operations","contributions to open-source projects or developer communities"],"datePosted":"2026-03-09T09:48:23.067Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (US)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"API fluency, scripting language (Python or TypeScript), exceptional troubleshooting instincts, strong API fluency, excellent written communication, OpenAI SDK / Chat Completions API format, AI/ML frameworks like LangChain, LlamaIndex, or Hugging Face, observability tools (logging, tracing, metrics), scaling support operations, contributions to open-source projects or developer communities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_273a6027-d6f"},"title":"Provider Operations & Support","description":"<p><strong>About the Role</strong></p>\n<p>OpenRouter is an LLM marketplace that lets developers use frontier models in one place. 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Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.</p>\n<p>Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.</p>\n<p>Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.</p>\n<p>Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.</p>\n<p><strong>About The Role</strong></p>\n<p>As a Senior Forward Deployed Engineer (FDE) for our U.S. Public Sector team at Invisible, you&#39;ll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client stakeholders and our internal delivery teams.</p>\n<p>This is a hybrid role: equal parts AI architect, hands-on engineer, and technical advisor. You’ll work on the front lines with ambitious clients, turning operational challenges into scalable AI workflows. You’ll be trusted to lead complex engagements, make architectural calls, and mentor others across technical and non-technical domains.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Scope, design, and lead implementation of AI-driven solutions in partnership with delivery teams and executive stakeholders</li>\n<li>Translate ambiguous workflows and business needs into repeatable systems and production-ready technical architectures</li>\n<li>Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability</li>\n<li>Build usable systems from messy data and incomplete or evolving requirements</li>\n<li>Apply AI/ML solutions in highly regulated environments (e.g., defense, intelligence, healthcare, finance)</li>\n<li>Own projects end-to-end—from initial discovery and scoping through implementation, deployment, and post-launch iteration</li>\n<li>Build shared infrastructure, reusable components, and internal playbooks to improve delivery consistency and team velocity</li>\n<li>Mentor mid-level engineers and contribute to the development of forward-deployed AI engineering practices at Invisible</li>\n</ul>\n<p><strong>What We Need</strong></p>\n<ul>\n<li>Active U.S. Department of Defense Secret clearance or higher</li>\n<li>5+ years of software engineering experience, including work on data-intensive, ML, or backend systems</li>\n<li>Ability to work on-site 2–3 days per week at offices located in the greater Washington, D.C. and Reston, VA area</li>\n<li>Python &amp; ML/LLM frameworks: Hands-on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, LangChain, OpenAI, Pinecone)</li>\n<li>Deployment &amp; infrastructure: Experience building and operating API-based services using Docker, FastAPI, Kubernetes, and major cloud platforms (AWS, GCP)</li>\n<li>Platform &amp; data management: Familiarity with workflow orchestration, pub/sub systems (e.g., Kafka), schema governance, data contracts, Unity Catalog, Delta/ETL pipelines, and replay processes</li>\n<li>Experience leading requirements-gathering activities and translating stakeholder input into technical specifications</li>\n</ul>\n<p><strong>What’s In It For You</strong></p>\n<p>Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.</p>\n<p>For this position, the annual salary ranges by location are:</p>\n<p>Tier 2 Salary Range $164,000 – $240,000USD</p>\n<p>You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.</p>\n<p>Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process</p>\n<p><strong>What It&#39;s Like to Work at Invisible:</strong></p>\n<p>At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.</p>\n<p>We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.</p>\n<p>_<strong>Country Hiring Guidelines:</strong>_ _Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. 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