Mandate: GenAI look for resources from product side (Should have Product Development Experience)

Machine learning, Agentic AI creation-product side (LLM, rac pipelines)

Fast API with Python

Work Location: Hyderabad / Bangalore ( hybrid)

Shift time: General Shift ( 10AM to 7PM)

First Level Tech Panel: Coding Test and designing test

Two levels technical evaluation

L1 – Coding Assessment

Required qualifications
- 7+ years in software or ML engineering with solid Python.
- Practical experience with LLM applications- prompt engineering, tool/function calling, and at least one agent or RAG project (professional, open-source or substantial personal).
- Working knowledge of AWS (Lambda, IAM, S3, and event-driven basics).
- Solid fundamentals: version control, testing, APIs, JSON/data handling.
- Curious, detail-oriented, and comfortable with fast iteration and measurement.

Key responsibilities
- Implement worker and application agents on AWS AgentCore / Bedrock: prompts,



tool definitions, control flow and hand-offs between steps.
- Engineer and iterate prompts for the Studio's AI features (intake parsing, gap analysis, agent-blueprint generation) and contribute test cases to the eval harness.
- Integrate enterprise systems as governed tools (API connectors / MCP tools) for the six claims systems (Availity, HealthEdge, Optum, Shift, Zelis, InterQual) using sandbox adapters.
- Wire safety and compliance into every agent: Bedrock Guardrails, PHI masking, and the immutable audit trail.
- Write clean, tested Python; participate in code review and pair with the Lead and peers.
- Help implement the human-in-the-loop gates (clinical review, SIU) and the Forge deploy path.
- Debug agent behaviour using traces, logs and evals; tune model choice and cost per step.

📌 Gen AI Engineer (Bengaluru)
🏢 Gnaankriya Consulting
📍 Bengaluru