Lead Software Engineer, Agentic AI Systems

<div class="content-intro"><p>At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.</p></div><p>The Claims AI Automation team is currently evolving from traditional rule-based adjudication to an intelligence-driven platform. We are seeking a Lead Software Engineer who excels at high-level technical execution. This role is focused on the development and delivery of our Agentic AI strategy, turning architectural blueprints into production-ready systems.</p> <p>The ideal candidate will be the primary engine for building Python-based AI agents using the Google Cloud (GCP) ecosystem to automate complex claims workflows. You will be responsible for implementing sophisticated LLM behaviors using Gemini.</p> <h3>What you will do:</h3> <ul> <li>Execute Agentic Workflows: Build and deploy sophisticated AI agents using Google Vertex AI and the Google Agent SDK (ADK) based on provided architectural specifications.</li> <li>Develop and optimize agent behaviors using Gemini (Pro/Flash) with a focus on reliable tool-calling and multi-step reasoning; implement RAG and grounding strategies to ensure AI agents provide factual, data-driven responses derived from internal claims databases and policy documents.</li> <li>Design and implement complex system instructions, few-shot prompting, and Chain-of-Thought reasoning to ensure agents handle claims logic with high precision, performing Supervised Fine-Tuning on Gemini models to improve domain-specific performance in adjudication and medical coding</li> <li>Data &amp; Messaging: Expert in SQL/PostgreSQ/AlloyDB/BigQueryUnderstand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.</li> <li>Design and implement <strong>Stateful Orchestration</strong> patterns that incorporate human review breakpoints, ensuring agents can pause, persist state, and resume workflows after auditor approval.</li> <li>Implement <strong>Input/Output Guardrails</strong> and 'Circuit Breaker' logic to detect and intercept non-compliant agent behavior or toxic/hallucinated outputs in real-time before they reach production databases.</li> <li>Ability to implement <strong>Google Cloud DLP</strong> or similar tools within AI pipelines to ensure PHI (Patient Health Information) is never exposed to the model's training or logs.</li> </ul> <h3>To be successful in this role, you'll need:</h3> <ul> <li><strong>Expert Python Developer</strong>: Exceptional skills in building production-grade applications using frameworks like <strong>LangChain, LangGraph, or PydanticAI</stron