{"id":4067131,"url":"https://alion.io/job/bmw-techworks-india-data-ai-engineer-customer-analytics-aiml","title":"Data & AI Engineer - Customer Analytics AIML","company":{"id":4445239,"name":"BMW TechWorks India","domain":"bmwtechworks.in","url":"https://alion.io/company/bmw-techworks-india","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GraphRAG","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLMOps","optional":true},{"name":"Neo4j","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-11T11:52:56Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T11:52:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role Overview\nWe are looking for a hands-on Data & AI Engineer with strong expertise in Generative AI and Agentic AI to design, develop, and deploy intelligent AI applications. The role focuses on building autonomous AI agents, context-aware systems, advanced retrieval solutions, and scalable AI architectures, supported by data engineering capabilities.\nKey Responsibilities\nGenAI Development: Design and develop LLM-powered applications using RAG, prompt engineering, and advanced retrieval techniques.\nAgentic AI: Build autonomous and multi-agent systems capable of reasoning, planning, tool execution, and workflow orchestration.\nContext Engineering: Develop intelligent context retrieval, semantic search, and GraphRAG solutions.\nAgent Memory: Implement short-term, long-term, and persistent memory for context-aware AI agents.\nAI Architecture: Design scalable AI services, APIs, and integrations with enterprise systems.\nAI Evaluation: Develop benchmarking, automated testing, and observability frameworks to evaluate agent performance and reliability.\n Data Integration: Build lightweight data pipelines to ingest, transform, and prepare structured and unstructured data for AI applications.\nMust-Have Technical Skills\nStrong programming experience in Python and API development.\nHands-on experience with LLMs, Generative AI, RAG, and Agentic AI.\nExperience with LangGraph, LangChain, AutoGen, or similar agent frameworks.\nKnowledge of agent orchestration, tool calling, MCP, and multi-agent workflows.\nExperience with context engineering, embeddings, semantic search, and vector databases.\nUnderstanding of agent memory architectures and knowledge retrieval.\nExperience with AI evaluation, benchmarking, and observability.\nWorking knowledge of SQL, data integration, and cloud AI platforms (AWS/Azure).\nGood-to-Have Skills\nExperience with GraphRAG, knowledge graphs, and Neo4j.\nKnowledge of AWS Bedrock, Azure AI Foundry, or similar platforms.\nExperience with Docker, Kubernetes, CI/CD, and LLMOps.\nFamiliarity with data pipelines, Databricks, or Apache Spark.\nExposure to automotive AI, connected vehicles, or intelligent car 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