Jobs Companies Collective Health Lead Software Engineer, Agentic AI Systems

About this Lead Software Engineer, Agentic AI Systems role at Collective Health

Collective Health · Hybrid · Lehi, UT | Plano, TX

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.

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

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 recruiting-accommodations@collectivehealth.com.

Privacy Notice

For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.

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How this Tech Lead salary compares

This role pays $155,250/yrin line with the typical range for Tech Lead roles.

$112,000 median $182,909 $262,500

Typical range $152,500–$220,500/yr, from 843 comparable Tech Lead listings on JobsRadar (pay annualized to USD). See Tech Lead salary insights →

About Collective Health

Work at Collective Health!

We’re a technology company working to create the healthcare experience we all deserve. Our team brings together a unique mix of experience from technology, design, product, finance, and healthcare to solve the hardest problems that get in the way of today’s healthcare experience. We’re always on the lookout for curious, smart and optimistic new members to join the Collective. 

The Collective Health Story

For a good overview of why we started Collective Health, read our founders’ blog post and watch their video. In a nutshell, we all deserve better so we’re rebuilding everything about how health benefits work for employers and their people.

Founded in 2013, our team of engineers, designers, product managers, and actuaries are redefining the $1 trillion-dollar market of employer-sponsored health insurance with data-driven and people-focused products. Some of the forward-thinking companies already using our product include: Activision Blizzard, Palantir, and Zendesk. We’re backed by some of the best investors in Silicon Valley including Google Ventures, Founders Fund, NEA, and Redpoint Ventures.

Who We Are

We believe in transparency, trust, and balance—across the company. We are inclusive, empathetic, and playful in how we approach our work. We put the overall customer experience first: from intuitive product design, to considered engineering, to caring customer support, to explaining things in plain English, to developing data and analytics that actually mean something to our customers and members. 

What We're Building

We are rethinking an industry that hasn’t seen innovation in 30 years—this means our problems are complex and everyone here has interesting challenges to solve. You might be working on building distributed systems up and down our tech stack, creating data analytics and actuarial predictions, managing a product roadmap, designing a part of our service, improving system reliability, building our brand in the market, maintaining our security, or protecting the privacy of our members. We work on big problems with great passion.

 

Sound like a company you’d like to join? Apply today!

See all jobs at Collective Health →

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