About the role

You build the AI agents at the heart of \M-agentic — Agentic Process Studio\. Working within the agent squad, you implement and test the agents that automate a real \Health Insurance Claim Adjudication\ process on \AWS AgentCore + Amazon Bedrock (Claude)\ — writing the prompts, tools, guardrails and integrations that make each agent reliable, protected and auditable.
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.
Required qualifications
2+ 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 (qualified, 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.
Preferred
Exposure to \Amazon Bedrock\, \AWS AgentCore\, Bedrock Agents, LangGraph/LangChain, or \MCP\.
Experience integratin

📌 Gen Ai Developer Hyderabad (India)
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📍 India