{"id":1571641,"url":"https://alion.io/job/pravi-hr-advisory-genai-engineer-agentic-systems","title":"GenAI Engineer - Agentic Systems","company":{"id":3800706,"name":"Pravi HR Advisory","domain":"pravihr.com","url":"https://alion.io/company/pravi-hr-advisory","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":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-10-01T06:21:44Z","employer_posted_date":null,"last_verified_at":"2026-10-01T06:21:44Z","board_verified":false,"closed_at":null,"days_open":22,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":22},"description":"Role: GenAI Engineer - Agentic Systems\n\nBuild agents that reason, act and ship to production systems - beyond chatbot wrappers and slideware.\n\nWhat you'll own :\n\n- Redesign the workflow. Map deterministic steps, LLM decisions, tools, approvals and exceptions; use agents only where reasoning or adaptability adds value.\n\n- Build stateful agents. Implement LangChain/LangGraph state, nodes, routing, checkpointing, persistence, retries, streaming and human-in-the-loop controls.\n\n- Orchestrate specialists. Create supervisor, router or hand-off patterns with clear agent boundaries, shared context, loop controls and secure tool permissions.\n\n- Connect enterprise systems. Build schema-based tools over APIs, databases, search, document stores and queues with timeouts, retries, idempotency and audit trails.\n\n- Engineer RAG and models. Own retrieval quality and implement model distillation or optimisation using LoRA, quantisation, prompt optimisation or model routing.\n\n- Evaluate and ship. Use LangSmith traces, datasets and evaluators; deploy tested Python services with observability, fallbacks, cost controls and AI-security safeguards.\n\nWhat you'll bring :\n\n- Hands-on experience. 2 - 4 years in software, ML or applied AI, with an LLM or agentic application delivered beyond a demo.\n\n- Framework depth. Practical LangChain and/or LangGraph experience, plus LangSmith tracing and evaluation - you can debug the graph, not just prompt it.\n\n- Applied GenAI depth. Evidence of model distillation or optimisation, RAG, embeddings, vector search, metadata filtering, reranking and retrieval evaluation.\n\n- Strong engineering. Python, FastAPI or equivalent, async programming, structured outputs, REST APIs, testing, Git and Docker.\n\n- Production judgement. You understand non-determinism, context limits, retries, queues, latency, cost, PII leakage, prompt injection and unsafe tool use.\n\nWhat will make you stand out :\n\n- Agent depth. A LangGraph/LangChain build with state, routing, tools, retries and human approval - not only prompts.\n\n- Distillation evidence. A teacher-student or optimisation experiment with measured quality, cost and latency trade-offs.\n\n- Production controls. A trace or architecture covering grounding, permissions, failure recovery, observability and safe tool use.\n\nWhy this opportunity stands out :\n\n- Build what matters. Create AI that can reduce friction for policyholders and employees across real underwriting, claims, fraud and service journeys.\n\n- Own the full loop. Move from process discovery to agent design, evaluation, deployment and adoption - with visible impact, not vanity demos.\n\n- Shape the platform. Work with a growing AI team and help define reusable agent patterns, evaluation standards and engineering guardrails for the enterprise.\n\n- Grow with the frontier. Deepen your skills across agents, model adaptation, evaluation and platform engineering while solving real regulated-industry problems.\n\nWhat your first six months can look like :\n\n- Learn the journey. Map the workflow, users, systems, failure modes and success metrics; establish a traceable baseline and evaluation dataset.\n\n- Ship a working agent. Take a priority use case into a controlled pilot or production path with tools, human approvals, observability and recovery controls.\n\n- Prove and reuse. Demonstrate improvement in turnaround time, quality or effort, then package the graph, tools and evaluators as reusable enterprise patterns.\n\nYour impact at Star Health\n\nBuild for: KYC and onboarding; underwriting and claims copilots; document review; Fraud Waste & Abuse investigation; email/contact-centre automation; operational exception handling.\n\nSuccess looks like: an agent completes the right task safely, recovers from failure, is measurable in LangSmith and improves turnaround time, quality or customer effort.\n\nREADY TO BUILD?\n\nBring your curiosity, your GitHub or portfolio and a story about something you shipped/ agent you built - graph/state, tools, traces, evaluation data, failure controls and architecture - plus a distillation experiment and its trade-offs.\nSkills\nPython, LangChain, LangGraph, FastAPI, Machine Learning, RAG, Agentic AI, Generative AI","description_format":"text","description_chars":4192,"description_truncated":false,"requirements":{"experience_years_min":2,"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":[],"lifecycle":[{"event":"open","at":"2026-10-01T08:00:00Z"}],"visa":[],"liveness":{"score":36,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.772,"p_room":0.55,"age_days":21,"expected_fill_days":20,"reasons":["seen:21","velocity","win:tail","comp:junior"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/pravi-hr-advisory-genai-engineer-agentic-systems","json_url":"https://alion.io/job/pravi-hr-advisory-genai-engineer-agentic-systems.json","meta":{"generated_at":"2026-10-23T16:14:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24612,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3800706},"rest":"https://alion.io/mcp/rest/get_company?id=3800706"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpravi-hr-advisory-genai-engineer-agentic-systems"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpravi-hr-advisory-genai-engineer-agentic-systems"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpravi-hr-advisory-genai-engineer-agentic-systems"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pravi-hr-advisory-genai-engineer-agentic-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpravi-hr-advisory-genai-engineer-agentic-systems"}]}