{"id":3887855,"url":"https://alion.io/job/iqvia-sr-agentic-ai-engineer","title":"Sr Agentic AI Engineer","company":{"id":4918,"name":"IQVIA","domain":"iqvia.com","url":"https://alion.io/company/iqvia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":544,"ghost_share":0.009,"stale_share":0.805,"repost_share":0.028,"time_to_fill_p50_days":24,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Angular","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-06T17:29:47Z","employer_posted_date":null,"last_verified_at":"2026-11-06T17:29:47Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Experience: 4-13 years\nJob Location: Bangalore\nWork Mode: Hybrid\nMust Have Skills: Agentic AI, Python, LLM, \n\nJob Overview\nWe are seeking a highly skilled AI/ML Engineer with strong backend development expertise to design, build, and scale production-grade AI-driven applications for healthcare and life sciences use cases.\nThis is a hands-on development role focused on building LLM-powered, Agentic AI, and RAG-based systems, taking solutions from prototype to scalable, enterprise-ready deployments.\nLooking for a Senior AI/ML Engineer with strong Python backend expertise to build production-grade LLM, RAG, and Agentic AI applications. Hands-on role focused on scalable APIs, AI frameworks (LangChain), and real-world data systems. Bangalore-based, hybrid work model.\n\nKey Responsibilities:\nDesign and develop production-grade backend systems using Python\nBuild and deploy LLM-based applications, including Agentic workflows and RAG pipelines\nDevelop and manage RESTful APIs and scalable microservices\nTranslate AI/ML prototypes into robust, production-ready solutions\nIntegrate modern frameworks such as LangChain, LangSmith (or similar)\nWork with large, complex datasets to build high-performance AI models and systems\nImplement best practices for model optimization, performance tuning, and scalability\nCollaborate with product, data science, and engineering teams to deliver solutions aligned with business needs\nApply AI tools and automation in development workflows to improve productivity and efficiency\n\nRequired Skills & Experience:\n4+ years of experience in software development with AI/ML exposure\nStrong programming expertise in Python (mandatory)\nAgentic AI frameworks (LangChain / LangGraph / similar)\nRetrieval-Augmented Generation (RAG)\nAPI development and backend architecture\nExperience building production-grade AI/ML systems\nFamiliarity with LLMs and prompt engineering concepts\nExperience working with large real-world datasets\nSolid understanding of software engineering best practices (scalability, reliability, testing)\n\nGood to Have:\nExperience with frontend frameworks (React / Angular)\nKnowledge of cloud platforms (Azure / AWS / GCP)\nExposure to containerization (Docker/Kubernetes)\nExperience in healthcare / pharma domain\nExperience with ML lifecycle tools (MLflow, LangSmith, etc.)\nExposure to evaluation techniques for LLMs/Agentic systems (e.g., agent performance testing, benchmarking, or similar)\n\nEducational Qualification: 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