Role: GenAI Engineer - Agentic SystemsBuild agents that reason, act and ship to production systems - beyond chatbot wrappers and slideware.What you'll own :- Redesign the workflow. Map deterministic steps, LLM decisions, tools, approvals and exceptions; use agents only where reasoning or adaptability adds value.- Build stateful agents. Implement LangChain/LangGraph state, nodes, routing, checkpointing, persistence, retries, streaming and human-in-the-loop controls.- Orchestrate specialists. Create supervisor, router or hand-off patterns with clear agent boundaries, shared context, loop controls and secure tool permissions.- Connect enterprise systems. Build schema-based tools over APIs, databases, search, document stores and queues with timeouts, retries, idempotency and audit trails.- Engineer RAG and models. Own retrieval quality and implement model distillation or optimisation using LoRA, quantisation, prompt optimisation or model routing.- Evaluate and ship. Use LangSmith traces, datasets and evaluators; deploy tested Python services with observability, fallbacks, cost controls and AI-security safeguards.What you'll bring :- Hands-on experience. 2 - 4 years in software, ML or applied AI, with an LLM or agentic application delivered beyond a demo.- Framework depth. Practical LangChain and/or LangGraph experience, plus LangSmith tracing and evaluation - you can debug the graph, not just prompt it.- Applied GenAI depth. Evidence of model distillation or optimisation, RAG, embeddings, vector search, metadata filtering, reranking and retrieval evaluation.- Strong engineering. Python, FastAPI or equivalent, async programming, structured outputs, REST APIs, testing, Git and Docker.- Production judgement. You understand non-determinism, context limits, retries, queues, latency, cost, PII leakage, prompt injection and unsafe tool use.What will make you stand out :- Agent depth. A LangGraph/LangChain build with state, routing, tools,



retries and human approval - not only prompts.- Distillation evidence. A teacher-student or optimisation experiment with measured quality, cost and latency trade-offs.- Production controls. A trace or architecture covering grounding, permissions, failure recovery, observability and safe tool use.Why this prospect stands out :- Build what matters. Create AI that can reduce friction for policyholders and employees across real underwriting, claims, fraud and service journeys.- Own the full loop. Move from process discovery to agent design, evaluation, deployment and adoption - with visible impact, not vanity demos.- Shape the platform. Work with a growing AI team and help define reusable agent patterns, evaluation standards and engineering guardrails for the enterprise.- Grow with the frontier. Deepen your skills across agents, model adaptation, evaluation and platform engineering while solving real regulated-industry problems.What your first six months can look like :- Learn the journey. Map the workflow, users, systems, failure modes and success metrics; establish a traceable baseline and evaluation dataset.- Ship a working agent. Take a priority use case into a controlled pilot or production path with tools, human approvals, observability and recovery controls.- Prove and reuse. Demonstrate improvement in turnaround time, quality or effort, then package the graph, tools and evaluators as reusable enterprise patterns.Your impact at Star HealthBuild for: KYC and onboarding; underwriting and claims copilots; document review; Fraud Waste & Abuse investigation; email/contact-centre automation; operational exception handling.Success looks like: an agent completes the right task safely, recovers from failure, is measurable in LangSmith and improves turnaround time, quality or customer effort.READY TO BUILD?Bring 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. (ref:hirist.tech)

📌 GenAI Engineer - Agentic Systems (Chennai)
🏢 Pravi Hr Advisory
📍 Chennai