RRE Portfolio Careers

The Claims 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.

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, ensuring agents are grounded in claims data, and maintaining our existing Java/Spring Cloud microservices.

What you will do:

• Execute Agentic Workflows: Build and deploy sophisticated AI agents using Google Vertex AI and the Google Agent SDK (ADK) based on provided architectural specifications.
• 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.
• 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
• Dual-Stack Support: Act as a lead developer for the claims pod, balancing Python-first AI development with the maintenance and extension of our Java/Spring Cloud microservices.
• Data & Messaging: Expert in SQL/PostgreSQ/AlloyDB/BigQuery and experienced in managing high-throughput data via Kafka.
• Understand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.

To be successful in this role, you'll need:

• Expert Python Developer: Exceptional skills in building production-grade applications using frameworks like LangChain, LangGraph, or PydanticAI.
• Gemini & Vertex AI: Hands-on experience building with the Gemini model family and the Google Agent SDK (ADK).
• Prompt Engineering: Proven ability to engineer high-performance prompts that mitigate hallucinations and ensure deterministic outputs in regulated environments.
• 8+ years of Full-Stack experience with a heavy focus on backend systems.
• Java Proficiency: Strong working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures.
• AI-First SDLC: Mastery of AI-enhanced development tools (e.g., Cursor, WindSurf, GitHub Copilot) to drive team velocity.

Preferred Qualifications

• Healthcare Data: Familiarity with healthcare interoperability standards and claims-related data structures.
• Fine-Tuning Expertise: Practical experience in fine-tuning LLMs for specific industry nomenclature or structured output formats.

Our Tech Stack

• AI & LLMs: Gemini, Vertex AI, Google ADK, Python, LangChain.
• Existing Backend: Java, Spring Cloud, Spring Boot.
• Data & Messaging: PostgreSQL, Kafka, Spark, AlloyDB, BigQuery
• Infrastructure: GCP (Vertex AI, GKE, Cloud Run), Kubernetes, Docker.

Pay Transparency Statement

This is a hybrid position based out of our Lehi office, with the expectation of being in office at least two weekdays per week. #LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 205,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.