AI Engineer

Minimum 6+ year’s Experience

C2H onsite
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, safe 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 evalharness.
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 (skilled, 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 rapid iteration and measurement.

📌 Artificial Intelligence Specialist Hyderabad
🏢 Sourcebae
📍 Hyderabad