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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/ .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.