{"id":3795229,"url":"https://alion.io/job/tech-mahindra-lead-data-analyst-5","title":"Lead Data Analyst","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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Search","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false}],"status":"live","first_seen_at":"2026-11-05T09:01:14Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T09:28:01Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\n\nSkill Set :\nAgentic AI Development\n\nTotal Experience :\n7.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n28/10/2026\n\nJob Expiry Date :\n30/11/2026\n\nDomain :\nIT\n\nLocation :\nPUNE [India]\n\nJob Reference No :\n4115310\n\nJob Summary\nAgentic AI Developer\nMandatory Skill - Python , LangGraph , LangChain , RAG , knowledge in containerize and deploy AI services using Docker, Kubernetes, CI/CD pipelines\nLocation - Pune , Hyderabad , Bangalore , Noida\nShift Timings-Secondshift till 11 pm IST\nRole Summary\nWe are looking for an Agentic AI Developer to design, develop, and deploy intelligent AI agents capable of reasoning, planning, using enterprise tools and APIs, maintaining contextual memory, and autonomously executing multi-step workflows.\nThe ideal candidate will have strong software engineering skills combined with hands-on experience in Large Language Models, Retrieval-Augmented Generation (RAG), agent orchestration, APIs, vector databases, and cloud AI platforms.\nThe role will involve transforming business processes into secure, reliable, observable, and scalable agentic AI solutions.\nKey Responsibilities\nDesign and develop Agentic AI applications capable of autonomous planning, reasoning, tool usage, and multi-step task execution.\nBuild single-agent and multi-agent architectures for enterprise use cases.\nDevelop AI workflows using frameworks such as LangGraph, LangChain or equivalent agent frameworks.\nIntegrate LLMs with enterprise applications, databases, APIs, search platforms, and business workflows.\nBuild RAG pipelines for grounding LLM responses using structured and unstructured enterprise knowledge.\nDevelop and integrate REST APIs and microservices using Python and frameworks such as FastAPI.\nDesign appropriate short-term and long-term agent memory strategies.\nImplement AI agent evaluation across accuracy, task completion, latency, token consumption, and cost.\nOptimize LLM applications for performance, reliability, scalability, and cost.\nContainerize and deploy AI services using Docker, Kubernetes, CI/CD pipelines, and cloud-native services.\nCollaborate with architects, data scientists, product owners, business analysts, security teams, and application developers.\nConduct technical PoCs and convert successful experiments into production-ready enterprise solutions.\nMaintain technical documentation covering agent architecture, prompts, workflows, APIs, data flows, security controls, and operational procedures.\nRequired Technical Skills\nCore Development\nStrong programming skills in Python\nREST API 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