Description

Key Responsibilities

• Implement worker and application agents on AWS AgentCore and Amazon Bedrock, including prompts, tool definitions, control flow, and hand-offs between process steps.
• Engineer and iterate prompts for the Studio's AI features including intake parsing, gap analysis, and agent-blueprint generation.
• Contribute test cases to the evaluation harness to improve quality, consistency, and measurable reliability of AI outputs.
• Integrate enterprise systems as governed tools through API connectors and MCP tools for six claims systems: Availity, HealthEdge, Optum, Shift, Zelis, and InterQual using sandbox adapters.
• Wire safety and compliance into every agent using Bedrock Guardrails, PHI masking, and immutable audit trail practices.
• Write clean, tested Python code; participate in code reviews and pair with the Lead and peers.

Senior Technical Lead - Python & Gen AI Developer

Trianz | Confidential Recruitment Document

• Help implement human-in-the-loop gates such as clinical review and SIU, along with the Forge deploy path.
• Debug agent behavior using traces, logs, and evals; tune model choice and cost per step.

Required Qualifications

• 2+ years of experience in software engineering or ML engineering with strong Python development skills.
• Practical experience with LLM applications, including prompt engineering, tool/function calling, and at least one agent or RAG project through professional, open-source, or substantial personal work.
• Working knowledge of AWS services including Lambda, IAM, S3, and event-driven fundamentals.
• Solid engineering fundamentals including version control, testing, APIs, JSON, and data handling.
• Curious, detail-oriented mindset with comfort in fast iteration, experimentation, and measurement.

Preferred Qualifications

• Exposure to Amazon Bedrock, AWS AgentCore, Bedrock Agents, LangGraph, LangChain, or MCP.
• Experience integrating third-party APIs or building connectors.
• Interest or experience in AI safety, guardrails, evals, or regulated-data handling.
• Exposure to healthcare, insurance, claims processing, PHI handling, or regulated enterprise environments is an added advantage

Key Skills

Education

Bachelor's degree