{"id":1252846,"url":"https://alion.io/job/le-human-resources-solutions-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3806680,"name":"Le Human Resources Solutions","domain":"hrworksindia.com","url":"https://alion.io/company/le-human-resources-solutions","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"],"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Function Calling","optional":true},{"name":"LangGraph","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-12T06:00:49Z","employer_posted_date":null,"last_verified_at":"2026-09-12T06:00:49Z","board_verified":false,"closed_at":null,"days_open":40,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":40},"description":"Job Description :\n\nExperience : 5 to 8 Years\n\nLocation : Bangalore\n\nWe are looking for : Senior AI Engineer\n\nYou'll make an impact by :\n\n- Agentic workflow implementation - build multi-step AI pipelines with orchestration frameworks, tool integration, and human approval checkpoints\n\n- Knowledge-graph engineering - implement domain knowledge graphs, validation shapes, and ingestion pipelines\n\n- Retrieval and grounding - build hybrid retrieval and citation pipelines ensuring AI outputs trace to verifiable sources\n\n- Evaluation infrastructure - create regression-gated evaluation harnesses and metrics pipelines\n\n- Multi-environment deployment - implement and test across on-premises, hybrid, and cloud configurations\n\n- Observability - structured logging, tracing, and monitoring for production AI systems.\n\nRequirements :\n\n- Education: Bachelors or masters equivalent.\n\n- 5+ years software engineering, 2+ years building AI/ML applications in production\n\n- Built agentic or multi-step AI pipelines with human-in-the-loop and validation steps\n\n- Implemented knowledge graphs or semantic data pipelines\n\n- Delivered software across multiple deployment environments with data sovereignty or offline constraints\n\nDesired Domain Exposure :\n\n- Electrical power systems, protection engineering, or industrial automation\n\n- Engineering data standards (IEC 61850, COMTRADE, or comparable)\n\n- Safety-critical or regulated domains\n\nTech Stack :\n\n- Python, Lang Graph, Lang Chain, RDF, SPARQL, SHACL, Azure, Docker, OAuth2/OIDC, Vector databases, Local LLM inference, IEC 61850, COMTRADE\n\n- Python engineering: Production-grade (async, clean APIs, testing, dependency management)\n\n- LLM orchestration: Agentic frameworks, prompt engineering, tool-use patterns, stateful workflows\n\n- Knowledge graphs: RDF, SPARQL, SHACL or equivalent; 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