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.
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.
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.
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
- Data & Messaging: Expert in SQL/PostgreSQ/AlloyDB/BigQueryUnderstand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.
- Design and implement Stateful Orchestration patterns that incorporate human review breakpoints, ensuring agents can pause, persist state, and resume workflows after auditor approval.
- Implement Input/Output Guardrails and 'Circuit Breaker' logic to detect and intercept non-compliant agent behavior or toxic/hallucinated outputs in real-time before they reach production databases.
- Ability to implement Google Cloud DLP or similar tools within AI pipelines to ensure PHI (Patient Health Information) is never exposed to the model's training or logs.
- 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).
- Vertex AI Mastery: Deep experience with the Vertex AI Python SDK, specifically Reasoning Engine (Runtime), Extensions, and Function Calling.
- 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.
- AI-First SDLC: Mastery of AI-enhanced development tools (e.g., Cursor, WindSurf, GitHub Copilot) to drive team velocity.
- 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.
- Java Proficiency: working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures.
- AI & LLMs: Gemini, Vertex AI, Google ADK, Python, LangChain.
- Existing Backend: Java, Spring Cloud, Spring Boot.
- Data & Messaging: PostgreSQL, Spark, AlloyDB, BigQuery
- Infrastructure: GCP (Vertex AI, GKE, Cloud Run), Docker.
This is a hybrid position based out of our Lehi or Plano offices, with the expectation of being in office at least two weekdays per week. #LI-hybrid #LI-NM1
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/.
- Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
- Impactful projects that shape the future of our organization
- Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
- Flexible work arrangements and a supportive work-life balance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact [email protected].
Privacy NoticeFor more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.
Skills Required
- Expert Python developer with production-grade application experience
- Experience building agentic AI using Gemini and Google Agent SDK (ADK)
- Deep experience with Vertex AI and the Vertex AI Python SDK (Reasoning Engine, Extensions, Function Calling)
- Experience with LangChain, LangGraph, or PydanticAI for building LLM-based applications
- Strong prompt engineering skills to mitigate hallucinations and ensure deterministic outputs
- 8+ years full-stack experience with strong backend focus
- Mastery of AI-first SDLC and AI-enhanced developer tools (Cursor, WindSurf, GitHub Copilot)
- Expertise in SQL and experience with PostgreSQL, AlloyDB, and BigQuery
- Experience designing stateful orchestration patterns with human review breakpoints
- Implement input/output guardrails and circuit-breaker logic to detect/intercept unsafe or hallucinated outputs
- Ability to implement Google Cloud DLP or similar tools to prevent PHI exposure
- Experience with GCP infrastructure (Vertex AI, GKE, Cloud Run) and Docker
- Fine-tuning LLMs for domain-specific performance (practical experience)
- Familiarity with healthcare data standards and claims-related data structures
- Working knowledge of Java and Spring Cloud/Spring Boot to support existing backend services
Collective Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Collective Health and has not been reviewed or approved by Collective Health.
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Healthcare Strength — Benefits include competitive medical, dental, and vision coverage with options for $0 employee-only premiums and no waiting period, with some plans offering very low out-of-pocket costs. Feedback suggests this level of coverage is a standout element of the total package.
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Leave & Time Off Breadth — Generous time-off programs encompass ample PTO, 12 paid holidays, baby-bonding leave with a supportive return-to-work program, and a fully paid four-week sabbatical after five years. Feedback suggests these elements meaningfully enhance overall rewards beyond cash.
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Wellbeing & Lifestyle Benefits — A $100 monthly wellness stipend, access to Headspace resources, commuter support, and optional add-on insurances provide breadth and flexibility in day-to-day benefits. Feedback suggests these lifestyle supports contribute tangible value alongside salary.
Collective Health Insights
What We Do
Collective Health is a technology company simplifying employer healthcare to make health insurance work for everyone. With more than a quarter million members and over 60 enterprise clients—including Pinterest, Restoration Hardware, and more—our technical and customer experience teams are reinventing the healthcare experience for employers and their people.
Why Work With Us
Collective Health has a mighty mission—to make the American healthcare system effortless—and a culture focused empathy, authenticity, curiosity, and a need to solve hard problems. We have a diverse, mission-driven team with doctors working alongside data scientists and nuclear engineers to reinvent the the healthcare experience for everyday people.
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