Your RoleWe are looking for a Backend 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 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.
- A strong mentorship mindset and a deep commitment to investing in the growth of peers and more junior engineers.
- 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.
Why You'll Love It HerePlease Note: the following benefits are for salaried employees
- Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only)
- Competitive salary, equity, and 401(k)
- Wellness stipend & great benefits (medical, dental, vision)
- 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
- Final onsite loop to meet the team and get to know us better
- Chat with our CEO
Curious to Learn More?- Read our Blog to hear from Infinauts about what we're building
- Discover how our company values (CODES) guide us
- Follow our CEO, Ankit Jain, for industry updates
We're building AI agents that tackle healthcare's toughest problems and open new possibilities. Ready to join us? Let's talk!
