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You will collaborate with technical teams to design, train, and refine AI agents, curate high-quality training data from real cases, and build tools that scale operations while maintaining accuracy and speed.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Join on an on-call rotation, working closely with other members of Safety to provide timely responses to emergency requests and proactive referrals from all over the world.</li>\n</ul>\n<ul>\n<li>Handle global legal information and content removal requests, including document intake and processing.</li>\n</ul>\n<ul>\n<li>Execute and quality-control complex content-removal and user-data-production cases across multiple jurisdictions while applying and interpreting platform policies shaped by evolving legal requirements.</li>\n</ul>\n<ul>\n<li>Serve as the go-to escalation point for ambiguous or high-risk legal requests, exercising sound judgment and ensuring compliance.</li>\n</ul>\n<ul>\n<li>Continuously improve AI agents that automate triage, initial decisioning, redaction, compliance checks, and response workflows.</li>\n</ul>\n<ul>\n<li>Create and maintain high-quality training datasets, evaluation rubrics, and feedback loops using real Legal Operations cases to enhance AI performance.</li>\n</ul>\n<ul>\n<li>Identify automation opportunities and collaborate with technical teams to build end-to-end workflows using automation tools.</li>\n</ul>\n<ul>\n<li>Measure and report on automation coverage, accuracy, risk reduction, and efficiency gains while training and upskilling the broader Legal Operations team.</li>\n</ul>\n<ul>\n<li>Analyze complex legal and compliance problems in partnership with legal stakeholders to ensure platform rules and regulatory requirements are followed.</li>\n</ul>\n<ul>\n<li>Interpret, analyze, and execute tasks based on evolving instructions and regulatory changes, maintaining precision and adaptability in partnership with cross-functional stakeholders.</li>\n</ul>\n<ul>\n<li>You may represent X in witness testimony or other external engagements.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>2+ years of hands-on professional experience in legal operations, trust &amp; safety, content moderation, compliance, or e-discovery at a major technology or social media company.</li>\n</ul>\n<ul>\n<li>Demonstrated expertise in global content-removal processes and/or user-data production in response to legal requests (subpoenas, MLATs, court orders, and local law enforcement demands).</li>\n</ul>\n<ul>\n<li>Proficiency in reading and writing professional English with excellent communication, interpersonal, analytical, and organizational skills.</li>\n</ul>\n<ul>\n<li>Strong technical aptitude, including experience with prompt engineering, AI workflows, or automation tools in a regulated environment.</li>\n</ul>\n<ul>\n<li>Excellent reading comprehension and the ability to exercise autonomous judgment with limited or ambiguous data.</li>\n</ul>\n<ul>\n<li>Passion for technological advancements and using AI to amplify human expertise in legal and compliance processes.</li>\n</ul>\n<p>Preferred Skills and Qualifications:</p>\n<ul>\n<li>Relevant certification, license, or advanced training, specifically in areas such as: copyright, privacy laws, child safety, hate speech, incitement, harassment, or misinformation laws by region.</li>\n</ul>\n<ul>\n<li>Comfort with recording audio or video sessions for data collection.</li>\n</ul>\n<ul>\n<li>Familiarity with AI workflows in a technical setting.</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_f20bf333-e3f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5101856007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["legal operations","regulatory compliance","content moderation","prompt engineering","AI workflows","automation tools"],"x-skills-preferred":["copyright","privacy laws","child safety","hate speech","incitement","harassment","misinformation laws"],"datePosted":"2026-04-18T15:23:41.246Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, SG"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"legal operations, regulatory compliance, content moderation, prompt engineering, AI workflows, automation tools, copyright, privacy laws, child safety, hate speech, incitement, harassment, misinformation laws"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_42187d42-78e"},"title":"Staff Engineer (Backend, DevOps, Infrastructure)","description":"<p>About Zuma</p>\n<p>Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property managers alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.</p>\n<p>Off the back of our Series-A in early 2024, Zuma is scaling rapidly. Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions. We&#39;re on the hunt for exceptional talent ready to join our mission and contribute to building a groundbreaking technology that reshapes how businesses engage with customers.</p>\n<p>As a Staff Engineer, you will:</p>\n<p>Help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents. This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences.</p>\n<p>Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service. We’re not just building software we’re designing AI that people want to work with. Delightful, trustworthy, and deeply effective.</p>\n<p>Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.</p>\n<p>You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you&#39;ll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.</p>\n<p>You&#39;ll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.</p>\n<p>As our first US-based engineer, you&#39;ll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.</p>\n<p>You&#39;ll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.</p>\n<p>Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.</p>\n<p>We&#39;re looking for a Staff Engineer to help us bring that future to life. This is not just another dev role. You&#39;ll be hands-on shaping the technical DNA of Zuma. You&#39;ll architect critical systems, tame legacy code, build net-new AI-powered experiences, and lay down the patterns future engineers will inherit.</p>\n<p>If you&#39;re obsessed with building real products people use, especially products powered by LLMs, this might be your playground.</p>\n<p><strong>Why This Could Be Your Dream Role</strong></p>\n<ul>\n<li>You&#39;ll work directly with cutting-edge LLM technology in a real-world application</li>\n<li>You want to work at a company where customers feel your impact every day</li>\n<li>You&#39;ll architect AI-powered systems that are transforming the real estate industry</li>\n<li>You&#39;ll have autonomy to design and implement innovative technical solutions</li>\n<li>Your work will directly impact thousands of apartment communities and millions of renters</li>\n<li>You&#39;ll receive significant equity in a venture-backed company with strong traction</li>\n<li>As we scale, your role and influence will grow with the company</li>\n</ul>\n<p><strong>Why You Might Want to Think Twice</strong></p>\n<ul>\n<li>This is a demanding role that will often require extended hours and deep commitment</li>\n<li>As a founding team member, you&#39;ll need to wear multiple hats and step outside your comfort zone</li>\n<li>You&#39;ll need to make thoughtful tradeoffs between innovation and immediate needs</li>\n<li>You&#39;ll interact directly with customers to understand their needs and occasionally travel to their offices</li>\n<li>We&#39;re a startup - priorities can shift rapidly as we respond to market opportunities and customer needs</li>\n<li>If you&#39;re not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn&#39;t the job for you</li>\n</ul>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation</li>\n<li>Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands</li>\n<li>Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products</li>\n<li>Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability</li>\n<li>Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform</li>\n<li>Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions</li>\n<li>Mentor engineers and elevate the team&#39;s capabilities across infrastructure, scalability, and AI product development</li>\n</ul>\n<p><strong>Your Experience Looks Like</strong></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field</li>\n<li>5+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability</li>\n<li>Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services</li>\n<li>Experience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)</li>\n<li>Hands-on experience with database design, performance tuning, and scaling high-throughput data systems</li>\n<li>Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices</li>\n<li>Strong communication skills and ability to work effectively in a distributed, fast-paced environment</li>\n<li>Comfortable operating in early-stage, high-ownership environments with evolving requirements</li>\n<li>Bonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure</li>\n<li>Bonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows</li>\n</ul>\n<p><strong>Guiding Principles</strong></p>\n<ul>\n<li>Customer‑First Outcomes</li>\n</ul>\n<p>Every commit should trace back to resident or operator value. 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We operate in public i</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_42187d42-78e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Zuma","sameAs":"https://www.zuma.com/","logo":"https://logos.yubhub.co/zuma.com.png"},"x-apply-url":"https://jobs.lever.co/getzuma/800b8d69-b1e0-4524-a0a7-a5cec8b337b5","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Node.js","API design","system architecture","cloud-based services","cloud infrastructure","Infrastructure as Code","database design","performance tuning","scaling high-throughput data systems","CI/CD pipelines","automated testing","modern DevOps practices"],"x-skills-preferred":["React","TypeScript","LLM-based systems","AI infrastructure","agentic AI workflows"],"datePosted":"2026-04-17T13:12:22.878Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Node.js, API design, system architecture, cloud-based services, cloud infrastructure, Infrastructure as Code, database design, performance tuning, scaling high-throughput data systems, CI/CD pipelines, automated testing, modern DevOps practices, React, TypeScript, LLM-based systems, AI infrastructure, agentic AI workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c20d7221-4b5"},"title":"Support Engineer","description":"<p>As a Support Engineer at Zuma, you&#39;ll be a bridge between our customers, engineering team, and product vision. You&#39;ll ensure new customers onboard smoothly, integrations run reliably, and support operations scale as we grow. This is a hands-on role for someone who loves problem-solving, can dive into APIs and databases, and takes pride in clear documentation and communication.</p>\n<p>You&#39;ll help property managers succeed with our AI platform while also driving continuous improvements in our internal tools and processes.</p>\n<p>Responsibilities:\nLead critical system rewrites to transform our architecture into a highly scalable, resilient foundation\nOwn the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands\nBuild and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products\nSet up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability\nEstablish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform\nDrive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions\nMentor engineers and elevate the team&#39;s capabilities across infrastructure, scalability, and AI product development</p>\n<p>Your Experience Looks Like:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field\n3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability\nProven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services\nExperience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)\nHands-on experience with database design, performance tuning, and scaling high-throughput data systems\nFamiliarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices\nStrong communication skills and ability to work effectively in a distributed, fast-paced environment\nComfortable operating in early-stage, high-ownership environments with evolving requirements\nBonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure\nBonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows</p>\n<p>Guiding Principles:\nCustomer‑First Outcomes\nBias for Simplicity\nQuality Is a Gate, Not an After‑Thought\nData‑Driven Choices\nTransparency &amp; Written Culture</p>\n<p>Other Benefits:\nGreat health insurance, dental, and vision\nGym and workspace stipends\nComputer and workspace enhancements\nUnlimited PTO\nOpportunity to play a critical role in building the foundations of the company and Engineering culture</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_c20d7221-4b5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Zuma","sameAs":"https://www.zuma.com","logo":"https://logos.yubhub.co/zuma.com.png"},"x-apply-url":"https://jobs.lever.co/getzuma/da4d2130-954e-4b29-a9ef-3926b9bedba6","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Node.js","API design","system architecture","cloud-based services","cloud infrastructure","Infrastructure as Code","database design","performance tuning","scaling high-throughput data systems","CI/CD pipelines","automated testing","modern DevOps practices"],"x-skills-preferred":["React","TypeScript","LLM-based systems","AI infrastructure","agentic AI workflows"],"datePosted":"2026-04-17T13:11:53.316Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US and Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Node.js, API design, system architecture, cloud-based services, cloud infrastructure, Infrastructure as Code, database design, performance tuning, scaling high-throughput data systems, CI/CD pipelines, automated testing, modern DevOps practices, React, TypeScript, LLM-based systems, AI infrastructure, agentic AI workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_66c5c8aa-9e8"},"title":"Solutions Engineering, Sr Staff Engineer (DFT ,Verification, product Engineer)","description":"<p>At Synopsys, we drive the innovations that shape the way we live and connect. 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Your technical excellence and analytical skills, coupled with strong communication and interpersonal skills, make you an asset to any team.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li><p>Working closely with a world-class R&amp;D team, you’ll be at the center of developing and bringing an end-to-end solution to our wide variety of customers in the domain of Silicon Lifecycle Management (SLM) and 3DIC technologies.</p>\n</li>\n<li><p>Working closely with customers, you will bring detailed requirements into the factory to enable R&amp;D for strong, robust, and successful product development.</p>\n</li>\n<li><p>Working closely with product development team, you will validate an end-to-end solution both internally (before shipment) as well as in customer environment.</p>\n</li>\n<li><p>Driving the deployment and smooth execution of SLM solutions into customers’ projects.</p>\n</li>\n<li><p>Enabling customers to realize the value of silicon health monitoring in the context of 3DIC systems throughout the lifecycle of silicon bring-up, validation, through in-field operations.</p>\n</li>\n</ul>\n<p>The impact you will have includes enhancing Synopsys’ Silicon Lifecycle Management (SLM) and 3DIC solutions’ IP portfolio and end-to-end solution especially in the growing field of multi-die (3DIC) domain, driving the adoption of Synopsys’ SLM and 3DIC solutions at premier customer base worldwide, and influencing the development of next-generation SLM IPs and solutions.</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_66c5c8aa-9e8","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/bengaluru/solutions-engineering-sr-staff-engineer-dft-verification-product-engineer/44408/92871142528","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"employee","x-salary-range":null,"x-skills-required":["RTL design and verification","D2D and PHY protocols","UCIe and HBM","JTAG IEEE 1149.1","IEEE 1687/1500","BIST/DFT mechanisms","3D-IC/2.5D-IC solutions","IEEE 1838 and UCIe standards","PCIe & USB protocol knowledge","Debugging abilities","Flow automation","Synthesis","Lint, CDC, RDC"],"x-skills-preferred":["GenAI and Agentic AI workflows","Architecture/micro-architecture experience","Understanding of GenAI and Agentic AI workflows"],"datePosted":"2026-04-05T13:21:31.895Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"occupationalCategory":"Engineering","industry":"Technology","skills":"RTL design and verification, D2D and PHY protocols, UCIe and HBM, JTAG IEEE 1149.1, IEEE 1687/1500, BIST/DFT mechanisms, 3D-IC/2.5D-IC solutions, IEEE 1838 and UCIe standards, PCIe & USB protocol knowledge, Debugging abilities, Flow automation, Synthesis, Lint, CDC, RDC, GenAI and Agentic AI workflows, Architecture/micro-architecture experience, Understanding of GenAI and Agentic AI workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_606388e5-d2c"},"title":"Solutions Engineering, Sr Staff Engineer (DFT, RTL Design product Engineer)","description":"<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.</p>\n<p>You are a dynamic engineer with working experience in RTL implementation, DFT/BIST, verification, flow automation, and understanding of hierarchical SoC architectures and IEEE1149/1500 and 1687 standards and pattern porting. 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Do you like working at the speed of a startup, and tackling some of the world&#39;s most interesting challenges? At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems.</p>\n<p>We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. Our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial well-being.</p>\n<p>Our ETF development team is part of the Aladdin Engineering group. We manage a software platform that oversees the global iShares investment process. Together, we develop cutting-edge technology that transforms the interaction between information, people, and technology for global investment firms.</p>\n<p>As a member of Aladdin Engineering, you will be working in a fast-paced and highly complex environment, collaborating with cross-functional teams in a multi-office, multi-country environment to define, design, and ship high-quality software solutions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, develop, deliver, and maintain applications with focus on high efficiency, high availability, concurrent and fault-tolerant software</li>\n<li>Demonstrate technical leadership of software design &amp; architecture to support strategic product roadmap</li>\n<li>Collaborate with project managers, technical leads, and business analysts to contribute throughout the SDLC cycle</li>\n<li>Manage stakeholders for driving business decisions, negotiating priorities, and partner with various business teams to drive strategy and technology adoption</li>\n<li>Ensure scale, resilience and stability through risk identification and mitigation, quality code reviews, creating robust test suites, and providing level two support</li>\n</ul>\n<p>Skills &amp; Experience:</p>\n<ul>\n<li>Hands-on programming experience in Java and/or Python with OO skills and design patterns</li>\n<li>Exposure to building microservices and APIs ideally with Kafka or gRPC</li>\n<li>Experience working with relational and NoSQL databases (such as SQL Server, Apache Cassandra)</li>\n<li>Experience with DevOps, continuous integration, and continuous deployment (CI/CD) pipelines, and tools like Azure DevOps</li>\n<li>Strong problem-solving, analytical, and software architecture skills</li>\n<li>Experience in partnering with other teams, sponsors, and user groups who are on the same product journey</li>\n<li>Ability to work in Agile/Scrum development environments with strong teamwork, communication, and time management skills</li>\n<li>Innovative and a thought leader around new/cutting-edge technologies</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Exposure to and innovative thinking around AI workflows and code generation</li>\n<li>Experience with financial applications</li>\n<li>Experience with cloud native tools (such as Kubernetes, Docker) and cloud platforms (such as Azure, AWS, or GCP)</li>\n<li>Exposure to high scale distributed technologies such as Kafka, Ignite, Redis</li>\n<li>Experience or real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>B.S. / M.S. college degree in Computer Science, Engineering, or related subject area</li>\n<li>3+ years of hands-on development exposure</li>\n</ul>\n<p>Our benefits</p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p>Our hybrid work model</p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p>\n<p>About BlackRock</p>\n<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</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_684c9a64-a14","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/8PKqQ6FiWNCs2s8YbwAy9C/software-engineer%2C-associate-in-london-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Java","Python","OO skills","design patterns","microservices","APIs","Kafka","gRPC","relational databases","NoSQL databases","DevOps","continuous integration","continuous deployment","CI/CD pipelines","Azure DevOps","problem-solving","analytical skills","software architecture","Agile/Scrum development environments","teamwork","communication","time management"],"x-skills-preferred":["AI workflows","code generation","financial applications","cloud native tools","cloud platforms","high scale distributed technologies"],"datePosted":"2026-03-09T16:44:31.460Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Java, Python, OO skills, design patterns, microservices, APIs, Kafka, gRPC, relational databases, NoSQL databases, DevOps, continuous integration, continuous deployment, CI/CD pipelines, Azure DevOps, problem-solving, analytical skills, software architecture, Agile/Scrum development environments, teamwork, communication, time management, AI workflows, code generation, financial applications, cloud native tools, cloud platforms, high scale distributed technologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5c21d5d-a12"},"title":"Senior Data Scientist","description":"<p>Your job is to design, develop, and deploy end-to-end GenAI solutions, integrating AI into existing systems, applications, and business processes. You will implement LLMOps practices, including Docker containerization, CI/CD pipelines, and versioning strategies. Ensure monitoring, observability, cost optimization, and rollback mechanisms for production AI services. Define and execute evaluation frameworks, apply security, compliance, and governance guidelines for GenAI implementations. Collaborate with stakeholders and contribute to AI delivery standards and onboarding practices.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, develop, and deploy end-to-end GenAI solutions (RAG, AI agents, agentic workflows, prompt engineering).</li>\n<li>Integrate AI solutions into existing systems, applications, and business processes.</li>\n<li>Implement LLMOps practices, including Docker containerization, CI/CD pipelines, and versioning strategies.</li>\n<li>Ensure monitoring, observability, cost optimization, and rollback mechanisms for production AI services.</li>\n<li>Define and execute evaluation frameworks (hallucination metrics, A/B testing, offline/online validation).</li>\n<li>Apply security, compliance, and governance guidelines for GenAI implementations.</li>\n<li>Collaborate with stakeholders and contribute to AI delivery standards and onboarding practices.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.</li>\n<li>Very strong expertise in Python and software engineering (APIs, testing, code reviews).</li>\n<li>Practical experience with RAG architectures, vector databases, and agentic AI workflows.</li>\n<li>Hands-on experience deploying production-grade AI services.</li>\n<li>Solid knowledge of Docker and CI/CD pipelines.</li>\n<li>Understanding of ML fundamentals, evaluation concepts, and LLM behavior.</li>\n<li>Familiarity with cloud environments (preferably Azure) and distributed systems.</li>\n<li>Strong analytical and problem-solving skills.</li>\n<li>Very good level of English.</li>\n<li>Autonomous, reliable, and team-oriented mindset.</li>\n</ul>\n<p>What you will get:</p>\n<ul>\n<li>A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.</li>\n<li>Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.</li>\n<li>Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.</li>\n<li>A team where your input and technical decisions truly matter.</li>\n<li>A competitive package and benefits.</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_d5c21d5d-a12","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL Maroc SARL AU","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Sala-Al-Jadida-Senior-Data-Scientist/1366650233/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"permanent","x-salary-range":null,"x-skills-required":["Python","software engineering","RAG architectures","vector databases","agentic AI workflows","Docker","CI/CD pipelines","ML fundamentals","evaluation concepts","LLM behavior","cloud environments","distributed systems"],"x-skills-preferred":[],"datePosted":"2026-03-09T09:29:01.046Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sala Al Jadida"}},"occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, software engineering, RAG architectures, vector databases, agentic AI workflows, Docker, CI/CD pipelines, ML fundamentals, evaluation concepts, LLM behavior, cloud environments, distributed systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_557894f1-074"},"title":"Prompt Engineer, Agent Prompts & Evals","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for prompt and context engineers to join our product engineering team to help build AI-first products, features, and evaluations. Your mission will be to bridge the gap between model capabilities and real product experience, working with product teams to build consistent, safe, and beneficial user experiences across all product surfaces.</p>\n<p>You will be deeply involved in new product feature and model releases at Anthropic, combining engineering expertise with an understanding of frontier AI applications and model quality. You’ll become an expert on Claude’s behavioural quirks and capabilities and apply that knowledge to deliver the best possible user experience across models and domains. 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However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, we want to remind you that we will never ask you to pay any fees for the hiring process. 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