{"id":1252982,"url":"https://alion.io/job/highbury-consulting-services-agentic-ai-engineer","title":"Agentic AI Engineer","company":{"id":3806663,"name":"Highbury Consulting Services","domain":"highburyconsulting.in","url":"https://alion.io/company/highbury-consulting-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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","Pune, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-11T10:23:32Z","employer_posted_date":null,"last_verified_at":"2026-09-11T10:23:32Z","board_verified":false,"closed_at":null,"days_open":41,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":41},"description":"What you will do :\n\n- Build multi-agent workflows using LangGraph or similar - routing, state, tool use, human-in-the-loop review.\n\n- Build retrieval systems over domain data: chunking, hybrid search, reranking, and knowledge-graph or ontology-based retrieval where it helps.\n\n- Evaluate before you ship - test harnesses, LLM-as-judge, regression suites - and monitor quality once it is live.\n\n- Handle regulated data properly: de-identification, PHI controls, audit trails, guardrails on inputs and outputs.\n\n- Deploy and run what you build - containers, CI/CD, cloud, safe rollback.\n\n- Work directly with clinical and domain experts to turn unclear workflows into something a system can actually do.\n\nMust have :\n\n- Strong Python and production API experience (FastAPI or similar).\n\n- At least one agentic system you built that real users depend on - you can explain the design, what broke, and what you would change.\n\n- Real RAG engineering, not just a vector store call. 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