AI Full Stack Engineer

Help Build the Future of Healthcare AI

Your Role

We are looking for a senior Fullstack Software Engineer to help us design, build, and scale the core of our digital health platform. You’ll work on expanding the capabilities of Eva, our AI-powered health assistant, and build systems that automate and simplify healthcare administration at scale. This role blends hands-on backend development with opportunities to lead and influence technical direction and mentor teammates.

Your Impact

• Design, build, and scale AI-powered, user-facing products that make Eva’s healthcare interactions more intelligent, intuitive, and reliable.

• Lead the end-to-end delivery of complex full-stack product experiences, from frontend architecture and backend services to APIs, data integrations, and production workflows.

• Partner closely with Product, Design, Data Science, Infrastructure, and other engineering teams to bring AI capabilities into real user workflows in a practical, scalable, and measurable way.

• Translate ambiguous product and AI opportunities into clear technical plans, balancing speed, user experience, reliability, safety, and long-term maintainability.

• Build robust systems that connect application logic, data pipelines, model outputs, and human-centered product experiences.

• Evaluate and integrate AI technologies, including LLM-enabled workflows, retrieval systems, classification, summarization, automation, and decision-support experiences where appropriate.

• Establish strong frontend and backend engineering standards, including component architecture, API design, system reliability, observability, testing, and development best practices.

• Make high-quality technical tradeoffs across product impact, engineering complexity, scalability, and long-term platform health.

• Drive cross-team and cross-org alignment to ship high-impact work, influencing through technical clarity, judgment, and collaboration rather than authority.

• Mentor and grow engineers across the team, raising the bar for technical execution, product thinking, and engineering culture.

• Contribute to both short- and long-term technical roadmaps, especially around AI-enabled product development, platform scalability, and full-stack architecture.

• Help shape how Eva responsibly applies AI in healthcare workflows, with a focus on usefulness, trust, reliability, and excellent user experience.

Your Skillset

• 8+ years of practical full-stack engineering experience

• A track record of leading the design and delivery of complex consumer or B2B user-facing products across the full stack.

• Deep expertise in modern frontend and backend development, with strong proficiency in technologies such as React, TypeScript, Python, Go, Java, C++, or similar.

• Strong experience designing scalable APIs, backend services, data models, integrations, and distributed systems.

• Hands-on experience with cloud infrastructure and modern DevOps practices, ideally across AWS, GCP, or similar environments.

• Solid understanding of database technologies, including SQL and NoSQL systems, with experience optimizing for performance, reliability, and scale.

• Practical familiarity with AI-enabled product development, such as LLM integrations, model orchestration, prompt/system design, retrieval-augmented generation, evaluation workflows, or AI-assisted automation.

• Strong product judgment and a user-centered approach to building solutions that are robust, scalable, trustworthy, and easy to use.

• Experience working in early-stage startups or similarly fast-moving, rapidly evolving environments; ideally, you have built products from 0 to 1.

• Ability to navigate ambiguity, define technical direction, and deliver high-quality products in fast-paced environments.

• Demonstrated success driving cross-team or cross-org alignment to get impactful work shipped.

• Experience establishing engineering standards, component architectures, reusable patterns, and development best practices.

• Leads through mentorship, actively developing peers and junior engineers while fostering a collaborative, high-performing engineering culture.

• Entrepreneurial mindset: you take initiative, operate with ownership, and drive projects from concept through production impact.

Nice to Have

• Experience building AI-powered products in healthcare, fintech, enterprise SaaS, or other high-trust domains.

• Experience with evaluation, monitoring, and reliability practices for AI systems in production.

• Familiarity with healthcare data, clinical workflows, privacy-sensitive systems, or regulated environments.

• Experience building internal platforms or tooling that accelerate AI product development across engineering teams.

• Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only)

• Competitive salary, equity, and 401(k)

• Generous PTO & parental leave

• Bi-annual offsites & a collaborative, mission-driven culture
  

What to Expect in the Interview Process

• Apply & meet our recruiting team

• Virtual interviews to showcase your skills

• Chat with our CEO
  

Curious to Learn More?

• Read our Blog to hear from Infinauts about what we’re building