AI Full Stack Engineer

The role

You will design, build, and scale AI-powered, user-facing products to expand the capabilities of Eva, an AI-powered health assistant. This role involves backend development, leading end-to-end product delivery, and mentoring teammates.

What you will do

• Design, build, and scale AI-powered, user-facing products.
• Lead end-to-end delivery of complex full-stack product experiences.
• Partner with Product, Design, Data Science, Infrastructure, and engineering teams.
• Translate product and AI opportunities into technical plans.
• Build systems connecting application logic, data pipelines, and model outputs.
• Evaluate and integrate AI technologies like LLM-enabled workflows and retrieval systems.
• Establish frontend and backend engineering standards.
• Make technical tradeoffs regarding scalability and platform health.
• Drive cross-team and cross-org alignment.
• Mentor and grow engineers across the team.

Required qualifications

• 8+ years of practical full-stack engineering experience
• Track record of leading design and delivery of complex consumer or B2B user-facing products
• Proficiency in React, TypeScript, Python, Go, Java, C++, or similar
• Experience designing scalable APIs, backend services, data models, integrations, and distributed systems
• Experience with cloud infrastructure and modern DevOps practices, ideally across AWS, GCP, or similar
• Understanding of database technologies, including SQL and NoSQL systems
• Practical familiarity with AI-enabled product development
• Strong product judgment and a user-centered approach
• Experience working in early-stage startups or similarly fast-moving, rapidly evolving environments
• Ability to navigate ambiguity and define technical direction
• Success driving cross-team or cross-org alignment
• Experience establishing engineering standards and development best practices

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

Benefits

• Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only)
• Competitive salary, equity, and 401(k)
• Wellness stipend
• Medical, dental, and vision
• Generous PTO
• Parental leave
• Bi-annual offsites

Before you apply

• Applicants must be authorized to work in the US without employer sponsorship

About the company

Infinitus is AI communications in service of patients. They are pioneering agentic communications to connect the entire healthcare system.