Collective Health

Lead Software Engineer, Agentic AI Systems

Collective Health$151K — $189K *
Plano, TX 75025In-Person
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Expert Python developer with production-grade application experience in frameworks like LangChain, LangGraph, or PydanticAI.
  • Hands-on experience with Gemini model family and Google Agent SDK (ADK).
  • Deep expertise in Vertex AI, specifically with the Vertex AI Python SDK.
  • Proven ability in prompt engineering for regulated environments to prevent AI hallucinations.
  • Over 8 years of full-stack experience focused on backend systems.
  • Mastery of AI-enhanced development tools to increase team productivity.

Responsibilities

  • Build and deploy AI agents using Google Vertex AI and Agent SDK based on architectural specifications.
  • Optimize agent behaviors with Gemini, focusing on reliable tool-calling and reasoning.
  • Design instructions and reasoning structures for high-precision claims logic handling.
  • Drive architectural decisions for reusable patterns in cloud-native AI systems.
  • Implement orchestration patterns that allow for human review and workflow persistence.
  • Ensure compliance and quality by implementing guardrails and real-time detection of issues.
  • Utilize Google Cloud DLP to maintain PHI privacy within AI pipelines.

Benefits

  • Health insurance plans to support employee well-being.
  • 401k plan for retirement savings.
  • Paid time off to encourage work-life balance.
  • Stock options to offer an ownership stake in the company.
  • Flexible work arrangements to accommodate personal schedules.
Full Job Description
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.
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).
  • 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.
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.
  • Java Proficiency: working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures.
Our Tech Stack
  • 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.
Pay Transparency Statement

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/.

Lehi, UT Pay Range

$138,000-$172,500 USD

Plano, TX Pay Range

$151,800-$189,750 USD

Why Join Us?
  • 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

About Collective Health

Collective Health is a technology company that provides a cloud-based platform for self-insured employers to manage their employee health benefits. The platform includes tools for plan design, enrollment, claims processing, and member engagement. Collective Health was founded in 2013 and is headquartered in San Francisco, California. The company has raised over $400 million in funding and has partnerships with several major insurance carriers, including Aetna, Cigna, and Anthem.
Learn more about Collective Health
Size
500 employees
Industry
Founded
2013

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