AI Full Stack Engineer
Infinitus SystemsResponsibilities
- Design, build, and scale AI-powered user-facing products for Eva’s healthcare interactions.
- Lead end-to-end full-stack product delivery spanning frontend architecture, backend services, APIs, data integrations, and production workflows.
- Partner with Product, Design, Data Science, Infrastructure, and engineering teams to integrate AI into practical user workflows.
- Translate ambiguous product and AI opportunities into clear technical plans and make tradeoffs involving user experience, reliability, safety, scalability, and maintainability.
- Build systems connecting application logic, data pipelines, model outputs, and product experiences.
- Evaluate and integrate LLM-enabled workflows, retrieval systems, classification, summarization, automation, and decision-support capabilities.
- Establish frontend and backend standards for component architecture, API design, reliability, observability, testing, and development practices.
- Drive technical alignment across teams and organizations to ship high-impact work.
- Mentor and grow engineers while contributing to technical roadmaps for AI-enabled product development, platform scalability, and full-stack architecture.
- Help shape responsible, useful, trustworthy, and reliable applications of AI in healthcare workflows.
Requirements
- 8+ years of practical full-stack engineering experience.
- Track record of leading complex consumer or B2B user-facing products across the full stack.
- Deep proficiency in modern frontend and backend development using technologies such as React, TypeScript, Python, Go, Java, C++, or similar.
- 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.
- Experience with SQL and NoSQL database systems, including performance, reliability, and scale optimization.
- Practical experience with AI-enabled product development, including LLM integrations, model orchestration, prompt and system design, retrieval-augmented generation, evaluation workflows, or AI-assisted automation.
- Strong product judgment and a user-centered approach to building robust, scalable, trustworthy, and usable solutions.
- Experience in early-stage startups or similarly fast-moving environments, ideally building products from 0 to 1.
- Ability to navigate ambiguity, define technical direction, deliver high-quality products, and drive cross-team alignment.
- Experience establishing engineering standards, component architectures, reusable patterns, and development best practices.
- Demonstrated mentorship mindset and commitment to developing peers and junior engineers.
- Entrepreneurial ownership and ability to drive projects from concept through production impact.
- Preferred: experience building AI-powered products in healthcare, fintech, enterprise SaaS, or other high-trust domains.
- Preferred: experience with evaluation, monitoring, and reliability practices for production AI systems.
- Preferred: familiarity with healthcare data, clinical workflows, privacy-sensitive systems, or regulated environments.
- Preferred: experience building internal platforms or tooling that accelerate AI product development.
Benefits
- Hybrid work for Bay Area positions, with SF office days Monday, Tuesday, and Thursday
- Catered lunches for Bay Area positions
- 401(k) and medical, dental, and vision benefits
- Wellness stipend
- Generous paid time off and parental leave
- Bi-annual offsites and a collaborative, mission-driven culture
Categories
About Infinitus Systems
Every year, millions of patients are waiting for care that already exists. The medication is approved. The specialist has availability. The support program is funded. What doesn't exist – reliably, at scale, for every patient – is the coordination layer that gets it to them, and keeps it with them. This is a story about every patient managing a chronic condition. Every family navigating a new diagnosis. Every person trying to stay on a medication that could keep them functional, or in remission, or alive, but who can't get the access, the affordability support, or the ongoing coordination they need. The problem is not the care. It is everything surrounding it. And it is a coordination problem, which means it is solvable. From leading pharma manufacturers to top health plans and large provider networks, healthcare leaders are choosing Infinitus to help them close the gap between diagnosis and care.