Full Stack Product Engineer

Our mission: Eradicate health disparities by empowering the teams who care for underserved families.

BridgeHealthAI partners with Federally Qualified Health Centers (FQHCs) and community organizations to ensure every patient gets the care and benefits they deserve without drowning care teams in paperwork.

Our platform automates high-friction tasks like outreach, insurance verification, eligibility checks, follow-ups, and referrals. With modern AI and cloud infrastructure, we turn hours of manual effort into seconds, helping teams close care gaps faster, protect revenue streams, and stay focused on patients.

Born out of Harvard and MIT and backed by Pear VC, Flare Capital, and Glen Tullman (founder of Livongo), BridgeHealthAI is a fast-growing, seed-stage company trusted by leading community health centers. We are purpose-built for the safety net, helping clinics scale access, reduce burnout, and deliver equitable care for the 30M+ patients served by FQHCs each year.

We're looking for a full-stack product engineer who thrives in fast-moving, early-stage environments and loves turning ambiguous ideas into intuitive, production-ready software. You'll join a team of engineers and partner with product and the CEO to design and ship features that automate real workflows and simplify complex decisions for care teams.

This is a product engineering role, not just a coding job. You'll own features end-to-end: talking to users, prototyping solutions, architecting backend systems, building thoughtful interfaces, and iterating based on real-world feedback. You'll build core product infrastructure and apply AI where it adds real value. LLMs and automation are part of the toolkit, not the entire job.

Every line of code you write will go live fast, impact healthcare delivery directly, and shape how thousands of people experience our product. It's a rare opportunity to join a seed-stage company with paying customers and clear traction, where you'll influence architecture, product direction, and engineering culture from the ground up.

• Own features from concept to production: scoping, prototyping, building, shipping, and iterating based on user feedback and metrics.

• Design and implement AI integrations that reduce administrative burden for healthcare providers, using LLMs and automation thoughtfully and effectively.

• Build and maintain full-stack features across our TypeScript/React frontend and Kotlin backend.

• Write comprehensive tests that ensure our healthcare solutions are reliable and robust. Your tests protect patients, not just code coverage.

• Continuously refactor and improve our codebase to keep velocity high and technical debt low.

• Collaborate closely with product, clinical, and business stakeholders to understand user needs and translate them into technical solutions.

• Evaluate new AI tools and technologies, separating signal from noise and recommending what's worth adopting.

• Contribute to architecture decisions and engineering practices as we scale from early product to platform.

Primary Stack

• Frontend: TypeScript, React

• Backend: Kotlin, Micronaut

• Database: SQL, Postgres

• Infrastructure: AWS (EKS), Terraform

• CI/CD: Jenkins, GitHub Actions

Additional Technologies

• Redis, OpenSearch

• AI/ML: OpenAI, Anthropic APIs, plus emerging tools as appropriate

We don't expect you to know everything on day one. We believe strong engineers learn new tools quickly, and we'll help you get up to speed.

Required

• 5+ years of software engineering experience as an individual contributor, with meaningful time spent at an early-stage startup (seed to Series B). You know what it means to wear multiple hats, ship fast, and build without a playbook.

• Full-stack product engineering experience. You've taken features from napkin sketch to production and owned the outcome. Comfortable across the stack: frontend (TypeScript/React or similar), backend (Kotlin/Java or similar), and SQL databases.

• Hands-on experience integrating AI/ML into production applications. You've worked with LLMs (OpenAI, Anthropic, or similar), understand prompt engineering, know when to use AI vs. traditional logic, and can evaluate emerging tools critically. You stay current on what's possible and what's hype.

• Demonstrated ability to prototype rapidly, validate with users, and iterate based on real feedback. You think like a product person who happens to write code.

• Strong testing discipline. You write tests that protect user outcomes and enable confident refactoring, not just checkbox coverage.

• Excellent communication skills, especially with non-technical stakeholders. You can explain tradeoffs, advocate for technical decisions, and collaborate with product and clinical teams.

Strongly Preferred

• Chicago-based or willing to work hybrid. We value in-person collaboration and build better when we're together regularly.

• Healthcare, health tech, or regulated industry experience. You understand the stakes of building software where errors affect patient care, and you're familiar with considerations like HIPAA, data sensitivity, and compliance workflows.

• Experience with our stack: Kotlin/Micronaut, TypeScript/React, Postgres, AWS (EKS), Terraform.

• DevOps fluency. You've managed CI/CD pipelines, infrastructure-as-code, and production deployments.

• You use AI tools like Claude Code, Copilot, or Cursor to accelerate prototyping, coding, and documentation. But you treat them as multipliers on your skills, not substitutes. You can debug, refactor, and explain every line that goes to production.

• Code Quality: You write clean, maintainable code and aren't afraid to refactor when needed.

• Testing Mindset: Your tests focus on validating features and user outcomes. You test in a manner that promotes refactoring, not one that locks in implementation details.

• Independent Problem-Solving: You can work through challenges autonomously, fail fast, and iterate without waiting for permission.

• Learning Agility: You pick up new concepts quickly: new frameworks, new AI tools, new domain knowledge. And you apply them effectively.

• Product Thinking: You understand how your work fits into the broader context. You don't lose sight of the user or the business objective while deep in code.

• Ownership: You see things through. When something breaks or doesn't work for users, you fix it, whether or not it's "your" code.

• Build with Purpose: Your work will directly power clinics that serve millions of patients, creating technology that makes healthcare more human, accessible, and efficient.

• Shape the Foundation: Join early enough to define core architecture, engineering culture, and product direction as we scale from seed to Series A and beyond.

• Work with Real AI Impact: Apply AI to meaningful, high-stakes use cases: automating complex workflows, enhancing care coordination, and improving outcomes for entire communities. This isn't AI for AI's sake.

• Learn Fast, Ship Fast: Collaborate closely with founders and senior teammates who value creativity, rapid iteration, and mentorship in a fast-paced, supportive environment.

• Small Team, Big Ownership: Every feature you build will go live quickly and directly shape how thousands of users experience our product. Your impact will be visible from day one.

Apply via the link, and also send your resume and a brief note explaining why you want to join us directly to [email protected].

Our interview process includes a hands-on coding assessment focused on real-world problem-solving and your approach to building reliable, scalable software. We move quickly and respect your time.

BridgeHealthAI is committed to creating a diverse and inclusive workplace. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.