We are seeking a hands-on, business-facing engineer to join our team. In this role, you will partner directly with some of the most sophisticated quantitative researchers, developers, and portfolio managers in the industry.
\nOur team is a specialized group of engineers operating at the intersection of technology and quantitative finance. We function as an internal centre of excellence, providing expert-level solutions, architecture, and hands-on development in AI, Cloud (AWS/GCP), DevOps, and high-performance computing.
\nAs a forward deployed software engineer, you will be responsible for translating complex research requirements into robust, scalable, and secure technical architectures across on-prem, hybrid, and cloud environments. You will write high-quality, production-ready code across the full stack, including Python libraries, infrastructure-as-code (Terraform), CI/CD pipelines, automation scripts, and ML/AI proof-of-concepts.
\nYou will also develop and maintain our suite of managed products, reusable patterns, and best practice guides to provide self-service options and accelerate onboarding for new and existing teams. Additionally, you will act as the primary technical point of contact for embedded engagements, owning projects from discovery and planning through to implementation, knowledge transfer, and support.
\nTo succeed in this role, you will need to have a deep understanding of computer science principles, including data structures, algorithms, and system design. You will also need to have experience working with cloud providers, such as AWS or GCP, and be familiar with infrastructure-as-code concepts. Excellent verbal and written communication skills are also essential, as you will need to build strong relationships with stakeholders and articulate complex ideas to diverse audiences.
\nInnovative thinking and a passion for AI/ML and its practical applications are highly desirable. Experience designing systems and architectures from ambiguous business needs, as well as experience with scheduling or asynchronous workflow frameworks/services, is also preferred.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_af8ed06d-a9a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Equity IT","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755953439247","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Cloud computing (AWS/GCP)","DevOps","Infrastructure-as-code (Terraform)","CI/CD pipelines","Automation scripts","ML/AI proof-of-concepts","Data structures","Algorithms","System design"],"x-skills-preferred":["Experience in the financial services or fintech space","Experience building applications on top of LLMs using frameworks like LangChain or LlamaIndex","Experience with MLOps tooling and concepts","Cloud certifications (AWS or GCP)"],"datePosted":"2026-04-18T22:14:13.794Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami, Florida, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, Cloud computing (AWS/GCP), DevOps, Infrastructure-as-code (Terraform), CI/CD pipelines, Automation scripts, ML/AI proof-of-concepts, Data structures, Algorithms, System design, Experience in the financial services or fintech space, Experience building applications on top of LLMs using frameworks like LangChain or LlamaIndex, Experience with MLOps tooling and concepts, Cloud certifications (AWS or GCP)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b6611499-8b7"},"title":"AI Identity Architect","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI.\\n\\nOkta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.\\n\\nThis work requires a relentless drive to solve complex challenges with real-world stakes.\\n\\nWe are looking for builders and owners who operate with speed and urgency and execute with excellence.\\n\\nThis is an opportunity to do career-defining work.\\n\\nWe're all in on this mission.\\n\\nIf you are too, let's talk.\\n\\nThe Identity Team\\n\\nThe Identity team’s mission is to strengthen Okta’s position as the leading Identity-as-a-Service solution through identifying and resolving risks to the employees, product, and most importantly, our customers.\\n\\nWith the ever-increasing pace of cloud application adoption, companies are struggling to find ways to accurately assess risk and act at the speed of their business.\\n\\nThe AI Identity Architect Opportunity\\n\\nReporting to the VP of Identity & Access Management, this role will be an AI Identity Pioneer, not just an IAM expert.\\n\\nYour "been there, done that" experience in securing autonomous agents at scale is your superpower.\\n\\nYou’ve seen how traditional OAuth flows break under agentic pressure, you’ve felt the pain of "Secret Zero" in a LangChain loop, and you know exactly where the industry’s current tools fall short.\\n\\nAt Okta, you won't just implement security; you will use your battle-tested experience to drive the product features needed to secure the next generation of identities.\\n\\nThe AI Identity Architect's mission is to own Okta’s enterprise identity strategy for autonomous AI agents.\\n\\nAs Customer Zero, you will implement Okta on Okta,validating identity patterns at production scale, feeding direct input into product roadmaps, and partnering with business units building internal agentic systems.\\n\\nWhat you’ll be doing\\n\\nProduct Vision & Architecture (The "Ratified R0")\\n\\nDrive the Roadmap: Act as a primary stakeholder for Okta’s product teams.\\n\\nTranslate your real-world experience securing agents into prioritized feature requests and product requirements.\\n\\nTarget State: Define a multi-year roadmap for Non-Human Identities (NHIs) and AI Agents aligned with Zero Trust (NIST 800-207) and Okta’s Secure Identity Commitment.\\n\\nPosture First: Use ISPM (Identity Security Posture Management) to discover unmanaged AI agents and eliminate "Identity Debt" across the enterprise.\\n\\nCross-App Access & Brokered Delegation\\n\\nAgent-to-App Connectivity: Architect secure Cross-App Access patterns where agents act as intermediaries between enterprise systems.\\n\\nDelegated Authority: Refine how user identity is "brokered" to an agent (e.g. OAuth2 Token Exchange), ensuring the agent never has more power than the human user who triggered it.\\n\\nSession Scoping: Implement context-bound, short-lived tokens to prevent lateral movement by a compromised agent.\\n\\nOkta Customer Zero -- Validate and publish patterns using Okta primitives to secure the AI lifecycle for:\\n\\nOkta Identity Engine & Auth0: Define how AI agents prove their identity within AuthN/AuthZ core concepts, implementing rigorous protocols for secure access delegation like OAuth2/OIDC, mTLS, and SPIFFE/SPIRE for workload attestation.\\n\\nOkta Privilege Access: Implement JIT/JEA access and ephemeral, vaulted secrets for agent tool-use.\\n\\nOkta Identity Governance & Workflows: Automate the Joiner-Mover-Leaver (JML) lifecycle for agents, including automated certification and revocation.\\n\\nFine-Grained Authorization: Implement ReBAC for intent-bound decisions (e.g., "Can this agent access the Finance API on behalf of the CFO?").\\n\\nServe as "Customer Zero" by architecting and stress-testing internal AI security frameworks, translating real-world deployment lessons into a continuous stream of public-facing white papers, blogs, and technical guides to steer industry best practices.\\n\\nAI Ecosystem & Tech Stack Integration\\n\\nDefine how Okta identity is woven into modern AI orchestration layers:\\n\\nOrchestration: Secure identity patterns such as LangChain, LangGraph, AutoGPT, CrewAI, LlamaIndex, and Semantic Kernel.\\n\\nArchitect secure connectivity to AI model providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, and Anthropic.\\n\\nWhat you’ll bring to the role\\n\\nThe "Been There" Factor: Proven track record of securing AI agents and non-human identities in a production environment.\\n\\nExperience: 7+ years in IAM/Security Architecture; proven strategy work across workforce, customer, and Non-Human Identities (NHIs).\\n\\nDeep knowledge of the core protocols OAuth2/OIDC (especially Token Exchange), SAML, mTLS, JWT, and Model Context Protocol (MCP).\\n\\nHands-on experience with Modern Identity framework SPIFFE/SPIRE.\\n\\nAbility to author Architecture Decision Records (ADR) and influence at the VP/CTO level, while simultaneously acting as a peer to Product Management.\\n\\nAnd extra credit if you have experience in any of the following!\\n\\nPrior work shaping identity strategy for autonomous/agent systems, multi-agent delegation, or brokered access patterns.\\n\\nExposure to policy-as-code (OPA/Cedar) and service-mesh identity.\\n\\nCertifications such as CISSP-ISSAP, CCSP, or TOGAF are welcome but not required or expected.\\n\\n#LI-SM1 #LI-Hybrid P21621_3398002
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_b6611499-8b7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7749222","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$242,000-$332,000 USD","x-skills-required":["OAuth2/OIDC","SAML","mTLS","JWT","Model Context Protocol (MCP)","SPIFFE/SPIRE","Architecture Decision Records (ADR)","Policy-as-code (OPA/Cedar)","Service-mesh identity"],"x-skills-preferred":["LangChain","LangGraph","AutoGPT","CrewAI","LlamaIndex","Semantic Kernel","Azure OpenAI","AWS Bedrock","Google Vertex AI","OpenAI API","Anthropic"],"datePosted":"2026-04-18T15:57:24.671Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"OAuth2/OIDC, SAML, mTLS, JWT, Model Context Protocol (MCP), SPIFFE/SPIRE, Architecture Decision Records (ADR), Policy-as-code (OPA/Cedar), Service-mesh identity, LangChain, LangGraph, AutoGPT, CrewAI, LlamaIndex, Semantic Kernel, Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":242000,"maxValue":332000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_002cbb3c-9d8"},"title":"Senior Software Engineer- Tokyo","description":"As a Sr. Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale.
\nYour responsibilities will include designing and implementing platform capabilities to support the AI/ML development and productionization lifecycle, including training, evaluation, deployment, monitoring, and management of models and agents.
\nYou will also design and implement platform integrations with various frameworks in the AI/ML ecosystem, collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps, and ensure the latest AI/ML tooling advancements are available to Databricks' customers.
\nAdditionally, you will mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.
\nWe are looking for a highly skilled and experienced software engineer with a strong background in AI/ML and a passion for building and maintaining open-source platforms.
\nThe ideal candidate will have a BS (or higher) in Computer Science, or a related field, and 5+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.
\nExperience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment, is also required.
\nFamiliarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring, is essential.
\nA deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects is preferred.
\nSignificant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects, are also preferred.
\nAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
\nFor specific details on the benefits offered in your region, please click here.
\nWe are committed to diversity and inclusion and welcome applications from candidates of all backgrounds.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_002cbb3c-9d8","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/8350959002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Scala","Java","AI/ML","AIOps","model training","deployment","monitoring"],"x-skills-preferred":["LangChain","LlamaIndex","DSPy","SparkML","TensorFlow","PyTorch","MLflow"],"datePosted":"2026-04-18T15:51:57.238Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Scala, Java, AI/ML, AIOps, model training, deployment, monitoring, LangChain, LlamaIndex, DSPy, SparkML, TensorFlow, PyTorch, MLflow"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ed89fde9-362"},"title":"Software Engineer- Fullstack- Singapore","description":"We are seeking a Software Engineer to join our AI OSS Ecosystem Team. As a member of this team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale.
\nThe impact you'll have:
\nWhat we look for:
\nAbout Databricks
\nDatabricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
\nBenefits
\nAt 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 click here.
\nOur Commitment to Diversity and Inclusion
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_ed89fde9-362","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/8341810002","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Scala","Java","AI/ML","AIOps","model training","deployment","monitoring"],"x-skills-preferred":["LangChain","LlamaIndex","DSPy","SparkML","TensorFlow","PyTorch","MLflow"],"datePosted":"2026-04-18T15:51:20.157Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Scala, Java, AI/ML, AIOps, model training, deployment, monitoring, LangChain, LlamaIndex, DSPy, SparkML, TensorFlow, PyTorch, MLflow"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae53b8d4-8fd"},"title":"Sr. AI Engineer, Application Engineering","description":"We're hiring a Sr. AI Engineer to join our IT department to manage AI agentic deployments and deliver real impact for our customers. As a Sr. AI Engineer, you will design and develop tailored solutions using the Elastic Agent Builder platform and related technologies, guide technical engagements, and support the growth of junior engineers.
\nYour responsibilities will include:
\nRequirements include:
\nThis role is eligible to participate in Elastic's stock program and has a competitive salary range of $94,300-$149,200 USD, with an alternate range of $113,300-$179,200 USD in select locations.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_ae53b8d4-8fd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7722032","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$94,300-$149,200 USD","x-skills-required":["JavaScript","Java","Python","AI/LLM technologies","LangChain","LlamaIndex","prompt engineering techniques","agentic frameworks","data modeling","processing","integration","analytics","Salesforce Data Cloud","Snowflake","Databricks","BigQuery"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:59.873Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"JavaScript, Java, Python, AI/LLM technologies, LangChain, LlamaIndex, prompt engineering techniques, agentic frameworks, data modeling, processing, integration, analytics, Salesforce Data Cloud, Snowflake, Databricks, BigQuery","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":94300,"maxValue":149200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2d1d4a4d-c55"},"title":"Senior Software Engineer, Applied AI (Fullstack)","description":"We are looking for a Senior Software Engineer, Applied AI to join our team. As a key member of our AI & Automation team, you will play a crucial role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations.
\nYour primary responsibilities will include designing and building end-to-end GenAI-powered applications, implementing and integrating LLM-based experiences, defining and implementing operational excellence standards, developing responsive and accessible frontend interfaces, and ensuring security, privacy, and test coverage across the full stack.
\nTo be successful in this role, you will need strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers. You will also need to collaborate with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.
\nIn addition to your technical skills, you will need to have excellent communication and teamwork skills, with a strong sense of user empathy and technical ownership. You will also need to be able to contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.
\nIf you are a motivated and experienced software engineer with a passion for AI and automation, we encourage you to apply for this exciting opportunity.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_2d1d4a4d-c55","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7603595","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$147,000-$247,000 USD","x-skills-required":["Python","Full-stack development","GenAI","LLM-based experiences","Operational excellence standards","Frontend development","Security","Privacy","Test coverage"],"x-skills-preferred":["LangChain","LlamaIndex","OpenAI","Claude","Gemini","Distributed systems","APIs","Microservices","Container orchestration","Cloud platforms"],"datePosted":"2026-04-18T15:47:16.294Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago, Illinois"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Full-stack development, GenAI, LLM-based experiences, Operational excellence standards, Frontend development, Security, Privacy, Test coverage, LangChain, LlamaIndex, OpenAI, Claude, Gemini, Distributed systems, APIs, Microservices, Container orchestration, Cloud platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":147000,"maxValue":247000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c2a8bc1c-4bd"},"title":"Staff Software Engineer (L4)","description":"Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team.
\nTwilio 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.).
\nOur platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences.
\nWe're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation.
\nThis role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products.
\nWe 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.
\nThis 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.
\nJoining this team means building production-grade, full-stack AI applications. You won’t just be wrapping APIs; you will be engineering the entire lifecycle of agentic applications.
\nAs a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products.
\nYour role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.
\nResponsibilities:
\nQualifications:
\nDesired:
\nWhat We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows:
\nThe successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
\nTwilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you'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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_c2a8bc1c-4bd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7714237","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$160,320 - $200,400","x-skills-required":["JavaScript","Typescript","React","Data engineering","Software development","Distributed systems","Data technologies","Strong software engineering skills","Technical innovation","Research","Emerging data technologies","Best practices"],"x-skills-preferred":["Langchain","Langgraph","Llamaindex","LangSmith","LangFuse","CrewAI"],"datePosted":"2026-04-18T15:45:36.705Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"JavaScript, Typescript, React, Data engineering, Software development, Distributed systems, Data technologies, Strong software engineering skills, Technical innovation, Research, Emerging data technologies, Best practices, Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160320,"maxValue":200400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_114d6e6c-0d0"},"title":"Staff Software Engineer (L4)","description":"We're shaping the future of communications at Twilio, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide to craft personalized customer experiences.
\nJoin the team as our next Staff Software Engineer in the Enterprise AI Engineering team. 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.).
\nIn this role, you'll co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance. You will oversee the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience.
\nAs a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products. Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.
\nResponsibilities:
\nQualifications:
\nDesired:
\nTravel:
\nThis role will be remote and based in Colombia. Travel may be required to participate in project or team in-person meetings.
\nWhat We Offer:
\nWorking at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
\nTwilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
\nSo, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_114d6e6c-0d0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7716279","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["full-stack development","JavaScript","Typescript","React","data engineering","software development","distributed systems","data technologies","strong software engineering skills","technical innovation","research","emerging data technologies","best practices","mentorship","team leadership","communication","collaboration","influence","alignment","leadership skills","mentoring","high-performing engineering teams","fast-paced","dynamic environment","results under tight timelines"],"x-skills-preferred":["LLM applications","modern agent frameworks","Langchain","Langgraph","Llamaindex","LangSmith","LangFuse","CrewAI","big data technologies","Hadoop","Spark","Kafka","cloud-based data services","AWS","GCP","Azure"],"datePosted":"2026-04-18T15:42:12.273Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Colombia"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack development, JavaScript, Typescript, React, data engineering, software development, distributed systems, data technologies, strong software engineering skills, technical innovation, research, emerging data technologies, best practices, mentorship, team leadership, communication, collaboration, influence, alignment, leadership skills, mentoring, high-performing engineering teams, fast-paced, dynamic environment, results under tight timelines, LLM applications, modern agent frameworks, Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, big data technologies, Hadoop, Spark, Kafka, cloud-based data services, AWS, GCP, Azure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_52542071-2d3"},"title":"Senior AI Engineer","description":"We're seeking a Senior AI Engineer to architect, build, and scale AI-powered systems that redefine how Yuno operates and innovates.
\nThis role goes beyond building models; it's about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount.
\nYou will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation.
\nResponsibilities:
\nArchitect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes.
\nDesign autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.
\nDevelop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth.
\nOperational Intelligence & Scalability:
\nIdentify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations.
\nBuild AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence.
\nData & Model Optimization:
\nLead fine-tuning and contextual optimization of AI models using Yuno's proprietary data.
\nContinuously refine performance through structured feedback loops, observability metrics, and user interaction data.
\nEnsure adherence to privacy, compliance, and ethical AI principles in all model development.
\nCross-Functional Collaboration & Innovation:
\nWork closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno.
\nExperiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage.
\nContribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function.
\nThe skills you need:
\n5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems.
\nStrong engineering and product mindset, capable of balancing technical depth with strategic impact.
\nExceptional communication and collaboration skills to work across product, engineering, and data functions.
\nPassion for pushing the boundaries of applied AI and creating systems that drive real business transformation.
\nWilling to work from the Hyderabad office.
\nMinimum Qualifications:
\nLLMs & RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems.
\nAI Agents & Multi-Agent Systems: Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows.
\nFine-Tuning & Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks.
\nProgramming & Frameworks: Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX.
\nAI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization.
\nObservability & Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.
\nAPI Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products.
\nPreferred Qualifications:
\nExperience using LlamaIndex, Hugging Face, or similar open-source frameworks.
\nStrong understanding of context optimization, embedding strategies, and knowledge retrieval.
\nFamiliarity with MLOps, CI/CD pipelines, and production deployment best practices.
\nPrior experience in fintech, payments, or other data-intensive and regulated industries.
\nAnalytical rigor and ability to translate business objectives into measurable AI outcomes.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_52542071-2d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Yuno","sameAs":"https://www.yuno.com/","logo":"https://logos.yubhub.co/yuno.com.png"},"x-apply-url":"https://jobs.lever.co/yuno/11c53d1c-9bf0-41c7-8547-35ad174dacb2","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["LLMs & RAG","AI Agents & Multi-Agent Systems","Fine-Tuning & Context Engineering","Programming & Frameworks","AI Infrastructure","Observability & Monitoring","API Integration"],"x-skills-preferred":["Experience using LlamaIndex, Hugging Face, or similar open-source frameworks","Strong understanding of context optimization, embedding strategies, and knowledge retrieval","Familiarity with MLOps, CI/CD pipelines, and production deployment best practices","Prior experience in fintech, payments, or other data-intensive and regulated industries","Analytical rigor and ability to translate business objectives into measurable AI outcomes"],"datePosted":"2026-04-17T13:11:31.304Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"LLMs & RAG, AI Agents & Multi-Agent Systems, Fine-Tuning & Context Engineering, Programming & Frameworks, AI Infrastructure, Observability & Monitoring, API Integration, Experience using LlamaIndex, Hugging Face, or similar open-source frameworks, Strong understanding of context optimization, embedding strategies, and knowledge retrieval, Familiarity with MLOps, CI/CD pipelines, and production deployment best practices, Prior experience in fintech, payments, or other data-intensive and regulated industries, Analytical rigor and ability to translate business objectives into measurable AI outcomes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_62efca6f-b6f"},"title":"Senior AI Engineer","description":"We're looking for a Senior AI Engineer who is obsessed with building AI systems that actually work in production: reliable, observable, cost-efficient, and genuinely useful. This is not a research role. You will ship AI-powered features that process real financial data for real businesses.
\nLLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.
\nDevelop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.
\nImplement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.
\nEvaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.
\nEstablish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.
\nRetrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.
\nBuild document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.
\nOptimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.
\nML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.
\nBuild and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.
\nImplement model performance monitoring and data drift detection to ensure production models remain accurate over time.
\nSupport model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.
\nBackend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.
\nWrite high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.
\nInstrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.
\nCollaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.
\nContribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.
\nHelp grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_62efca6f-b6f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Jeeves","sameAs":"https://www.jeeves.com/","logo":"https://logos.yubhub.co/jeeves.com.png"},"x-apply-url":"https://jobs.lever.co/tryjeeves/ded9e04e-f18e-4d4c-ae43-4b7882c6200b","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["LLM","AI","Python","LangChain","LlamaIndex","OpenAI API","Anthropic API","HuggingFace","vector databases","Pinecone","Weaviate","pgvector","semantic search","RAG-based features","document ingestion","chunking pipelines","embedding model selection","chunk strategy","metadata filtering","re-ranking techniques","model serving infrastructure","latency SLOs","input validation","output monitoring","model performance monitoring","data drift detection","clean data pipelines","feature engineering","API contracts","circuit breakers","graceful degradation patterns","structured logging","distributed tracing","latency dashboards","alerting"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:39:23.341Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"LLM, AI, Python, LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases, Pinecone, Weaviate, pgvector, semantic search, RAG-based features, document ingestion, chunking pipelines, embedding model selection, chunk strategy, metadata filtering, re-ranking techniques, model serving infrastructure, latency SLOs, input validation, output monitoring, model performance monitoring, data drift detection, clean data pipelines, feature engineering, API contracts, circuit breakers, graceful degradation patterns, structured logging, distributed tracing, latency dashboards, alerting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e2350d04-53f"},"title":"Senior AI Engineer","description":"We're looking for a Senior AI Engineer who is obsessed with building AI systems that actually work in production: reliable, observable, cost-efficient, and genuinely useful. This is not a research role. You will ship AI-powered features that process real financial data for real businesses.
\nLLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.
\nDevelop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.
\nImplement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.
\nEvaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.
\nEstablish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.
\nRetrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.
\nBuild document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.
\nOptimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.
\nML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.
\nBuild and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.
\nImplement model performance monitoring and data drift detection to ensure production models remain accurate over time.
\nSupport model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.
\nBackend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.
\nWrite high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.
\nInstrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.
\nCollaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.
\nContribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.
\nHelp grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_e2350d04-53f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Jeeves","sameAs":"https://www.jeeves.com/","logo":"https://logos.yubhub.co/jeeves.com.png"},"x-apply-url":"https://jobs.lever.co/tryjeeves/66241934-7138-4d7d-8b05-a211ec5d6e24","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["LLM","AI","Python","LangChain","LlamaIndex","OpenAI API","Anthropic API","HuggingFace","vector databases","Pinecone","Weaviate","pgvector","PostgreSQL","async patterns","cloud infrastructure","AWS","GCP","Azure","structured logging","distributed tracing","latency dashboards","alerting"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:38:54.694Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Colombia"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"LLM, AI, Python, LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases, Pinecone, Weaviate, pgvector, PostgreSQL, async patterns, cloud infrastructure, AWS, GCP, Azure, structured logging, distributed tracing, latency dashboards, alerting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d477874c-cf5"},"title":"Senior AI Engineer","description":"We're looking for a Senior AI Engineer who is obsessed with building AI systems that actually work in production: reliable, observable, cost-efficient, and genuinely useful. This is not a research role. You will ship AI-powered features that process real financial data for real businesses.
\nLLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.
\nDevelop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.
\nImplement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.
\nEvaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.
\nEstablish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.
\nRetrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.
\nBuild document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.
\nOptimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.
\nML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.
\nBuild and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.
\nImplement model performance monitoring and data drift detection to ensure production models remain accurate over time.
\nSupport model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.
\nBackend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.
\nWrite high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.
\nInstrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.
\nCollaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.
\nContribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.
\nHelp grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_d477874c-cf5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Jeeves","sameAs":"https://www.jeeves.com/","logo":"https://logos.yubhub.co/jeeves.com.png"},"x-apply-url":"https://jobs.lever.co/tryjeeves/639e39d0-b357-4bc2-aff2-968cdedb14b6","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["LLM","AI","Python","Go","Node.js","Pinecone","Weaviate","pgvector","LangChain","LlamaIndex","OpenAI API","Anthropic API","HuggingFace","vector databases","API contracts","circuit breakers","graceful degradation patterns","structured logging","distributed tracing","latency dashboards","alerting"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:38:44.910Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"LLM, AI, Python, Go, Node.js, Pinecone, Weaviate, pgvector, LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases, API contracts, circuit breakers, graceful degradation patterns, structured logging, distributed tracing, latency dashboards, alerting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_91578588-736"},"title":"Principal AI Engineer – Enterprise Agentic AI","description":"Engineer the Future with Us
\nWe currently have 614 open roles
\nPrincipal AI Engineer – Enterprise Agentic AI
\nJob Summary
\nYou are a highly skilled, hands-on engineer with a passion for embedding advanced AI into the heart of enterprise business systems. With a robust enterprise background and a minimum of 10 years in software engineering, you thrive on architecting and delivering production-grade AI solutions that drive real business outcomes.
\nKey Responsibilities
\nImpact
\nRequirements
\nWho You Are
\nThe Team You’ll Be A Part Of
\nYou will join a cross-functional, forward-thinking engineering team responsible for embedding trustworthy, scalable AI into Synopsys’ most critical business systems. 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.
\nRewards and Benefits
\nWe 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.
\nXML job scraping automation by YubHub
","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_c043b353-08f"},"title":"Scaled Support Specialist","description":"Your job is to produce a job description for the job seeker. Treat copy that describes the job as more important than copy that talks about the company. Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here. One short paragraph about the company is enough — do not reproduce lengthy "About Us" text. For the role details, reuse the same section headings from the original ad (e.g. if the ad says "Responsibilities", use that heading, not "What you'll do"). Match the tone of the original: if formal, stay formal. If casual, stay casual. Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense. Content that is not directly about the role (long company history, mission statements, investor lists, press quotes) should be paraphrased into a sentence or two at most — the job seeker needs to understand the company, not read its pitch deck. 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. ## About the Role We're looking for a Scaled Support Specialist who lives at the intersection of deep technical troubleshooting and exceptional human communication. You'll be the front line for developers integrating with OpenRouter'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'll encounter issues daily where there is no runbook. You'll need to figure it out, often with incomplete information, and usually before anyone else on the team has seen it either. If you'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. ## Key Responsibilities ### Troubleshooting & Problem Solving (Core Focus) - Diagnose and resolve complex technical issues across OpenRouter'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 "it doesn't work" into actionable findings: exact steps to reproduce, clear hypotheses, and verified fixes or workarounds ### Developer Communication & Advocacy - 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 ### Self-Directed Research & Learning - Stay current with the rapidly evolving LLM ecosystem - Develop deep expertise in OpenRouter's routing logic, fallback behavior, rate limiting, streaming (SSE), and billing systems with minimal hand-holding ### Bridge to Product & Engineering - 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 ## About You ### Required: - 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 ### Nice-to-Haves: - 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) ## Why OpenRouter - 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.
\nXML job scraping automation by YubHub
","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":"About the Role
\nOpenRouter is an LLM marketplace that lets developers use frontier models in one place. This means shipping frequent model launches and making integration dead simple.
\nWe’re looking for an AI enthusiast to manage model launches and provider onboarding. You’ll help bring new models to market and improve the onboarding process for new providers. This is an ideal role if you love tinkering with AI models, want to develop technical depth, and want to work directly with all of the model labs and providers in the AI ecosystem.
\nKey Responsibilities
\nModel Launches & Provider Partnerships (~60%)
\nRun end-to-end launch playbooks: scoping, test plans, latency/quality checks, pricing & quotas, docs, and announcement assets.
\nCoordinate with model providers to integrate, QA, and hit ship dates.
\nMaintain clear versioning and release notes; manage deprecations and migrations.
\nTooling for benchmarks, onboarding and internal operations (~40%)
\nBuild internal tools to help speed up the model onboarding process.
\nBuild internal evals to evaluate models and endpoints quickly.
\nDocument internal processes and prime them for automation.
\nAbout You
\nWhat We Offer
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_273a6027-d6f","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/58dd70b9-f387-4ba1-8bee-1033f91e76ee","x-work-arrangement":"Remote","x-experience-level":"mid","x-job-type":"Full time","x-salary-range":null,"x-skills-required":["TypeScript/JavaScript","Python","Git","API docs","logs/cURL/Postman"],"x-skills-preferred":["LangChain/LlamaIndex","benchmarking/evals","cloud/observability"],"datePosted":"2026-03-09T09:47:53.961Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (US)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TypeScript/JavaScript, Python, Git, API docs, logs/cURL/Postman, LangChain/LlamaIndex, benchmarking/evals, cloud/observability"}]}