Collective Health

Collective Health

Lead Software Engineer, Agentic AI Systems

Lehi, UT | Plano, TX

Sponsorship not specified$138k-$173kDetected 15 days ago
PythonJavaSpringFull-Stack DevelopmentGitSQLPostgreSQLBigQueryGCPSparkLLMsRAGAgentic AILangGraphHIPAAICD-10CollaborationMentoring

About the role

  • This role is focused on the development and delivery of our Agentic AI strategy, turning architectural blueprints into production-ready systems.
  • You will be responsible for implementing sophisticated LLM behaviors using Gemini.
  • We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Responsibilities

  • 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.
  • 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.
  • 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).
  • 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.
  • AI-First SDLC: Mastery of AI-enhanced development tools (e.g., Cursor, WindSurf, GitHub Copilot ) to drive team velocity.

Requirements

  • Deep experience with the Vertex AI Python SDK, specifically Reasoning Engine (Runtime), Extensions, and Function Calling.
  • 8+ years of Full-Stack experience with a heavy focus on backend systems.
  • working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures.
  • Vertex AI Mastery: Deep experience with the Vertex AI Python SDK, specifically Reasoning Engine (Runtime), Extensions, and Function Calling.

Nice to have

  • 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.
  • Pay Transparency Statement

Skills

  • Java, Spring Cloud, Spring Boot.

Compensation

  • 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.
  • Lehi, UT Pay Range
  • $138,000 - $172,500 USD
  • Plano, TX Pay Range
  • $151,800 - $189,750 USD

Benefits

  • 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.
  • 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.
  • Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare

Equal opportunity

  • We are an equal opportunity employer and value diversity at our company.
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This listing is sourced directly from Collective Health's careers page and normalized into a canonical job model.