{"id":3605675,"url":"https://alion.io/job/bmw-techworks-india-federated-intelligence-engineer-aiml","title":"Federated Intelligence Engineer - 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":"Industrial Engineering","role_family":"Industrial Engineering","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":["Bengaluru, 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":"Embeddings","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"TypeScript","optional":false},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-02T11:46:52Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-15T01:09:09Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"We are looking for a Federated Intelligence Engineer to build intelligent systems that bring together distributed knowledge, semantic reasoning, hybrid retrieval, and LLM-based agents.\nThe role focuses on creating solutions where Knowledge Graphs, GraphRAG, vector retrieval, ontologies, reasoning engines, and Agentic AI work together to provide accurate, explainable, and efficient answers.\nKey Responsibilities\nDesign and implement GraphRAG and hybrid retrieval solutions combining vector search with graph-based retrieval and expansion.\nBuild and maintain knowledge graphs and ontologies using RDF, OWL, and SPARQL.\nModel complex domain relationships, including causal and cause-effect relationships.\nImplement semantic reasoning using technologies such as RDFox and/or SemReasoner.\nCombine knowledge-graph retrieval with embeddings and vector databases such as ChromaDB.\nDevelop GenAI backend components and services using TypeScript and Node.js.\nBuild LLM agent tools and MCP servers that enable models to interact reliably with enterprise knowledge and services.\nDesign effective tool descriptions, interfaces, and context that guide LLM tool selection and behavior.\nBenchmark and continuously improve answer quality, retrieval accuracy, reasoning effectiveness, and token consumption.\nTroubleshoot issues across the complete retrieval and reasoning pipeline and address root causes rather than symptoms.\nSupport containerized and multi-service development environments.\nMust-Have Skills\nHands-on experience with GraphRAG and/or hybrid retrieval\nVector search combined with Knowledge Graph traversal/expansion\nStrong understanding of Knowledge Graphs and semantic technologies\nStrong knowledge of RDF, OWL, and SPARQL\nExperience with RDFox, SemReasoner, or similar reasoning-capable triple stores\nHands-on experience in ontology modelling\nExperience modelling causal/cause-effect relationships\nPractical experience with embeddings and vector databases, preferably ChromaDB\nStrong TypeScript and Node.js development skills\nExperience developing LLM agent tools\nExperience with or strong exposure to Model Context Protocol (MCP) servers\nStrong engineering mindset around evaluation, benchmarking, answer quality, and token-cost optimization\nStrong problem-solving mindset with emphasis on root-cause analysis\nNice-to-Have Skills\nReasoning-based validation\nTime-series and signal analysis\nCross-correlation and anomaly detection\nDocker\nShell scripting\nMulti-service/containerized development environments","description_format":"text","description_chars":2508,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Embedded Software & RTOS","Autonomous Driving","Engineering Services","Automotive Software"],"lifecycle":[{"event":"open","at":"2026-11-02T11:46:52Z"}],"visa":[],"liveness":{"score":88,"band":"hot","label":"Hiring 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