{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/gen-ai-staff-engineer"},"x-facet":{"type":"title","slug":"gen-ai-staff-engineer","display":"Gen Ai Staff Engineer","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_12a62333-a0f"},"title":"Gen AI Staff Engineer","description":"<p>We are seeking a forward-thinking AI engineer with a strong foundation in software development and a passion for applying Generative AI and agentic systems to real-world enterprise challenges.</p>\n<p>As a Gen AI Staff Engineer, you will architect and develop GenAI, RAG, and agentic AI applications for enterprise functions. You will design and deploy AI-powered copilots and multi-step agent workflows using frameworks like LangChain, LangGraph, and LlamaIndex.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building ETL pipelines for document ingestion, parsing, and enrichment, enabling enterprise-scale knowledge integration</li>\n<li>Integrating and experimenting with LLMs and GenAI platforms (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA) for optimal solution fit</li>\n<li>Implementing MCP-based context sharing and A2A integrations to enable seamless interoperability across enterprise applications</li>\n<li>Developing and maintaining robust APIs and microservices for secure and scalable integration</li>\n<li>Implementing CI/CD pipelines and productionization practices for reliable deployments</li>\n</ul>\n<p>This role requires a strong understanding of CI/CD pipelines, cloud platforms, and production deployment. You should have experience with microservices, and modern architectural patterns. Familiarity with SQL, NoSQL, and vector databases is also required.</p>\n<p>In return, you will have the opportunity to transform business processes across HR, Finance, Legal, and beyond, and enjoy collaborating with cross-functional teams to deliver solutions that matter.</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_12a62333-a0f","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/gen-ai-staff-engineer/44408/93791047680","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$100,000 - $150,000 per year","x-skills-required":["Generative AI","Agentic systems","LLMs","LangChain","LangGraph","LlamaIndex","MCP","A2A","APIs","Microservices","CI/CD pipelines","Cloud platforms","Production deployment","SQL","NoSQL","Vector databases"],"x-skills-preferred":[],"datePosted":"2026-04-24T14:15:37.292Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, Agentic systems, LLMs, LangChain, LangGraph, LlamaIndex, MCP, A2A, APIs, Microservices, CI/CD pipelines, Cloud platforms, Production deployment, SQL, NoSQL, Vector databases","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100000,"maxValue":150000,"unitText":"YEAR"}}}]}