Akomi is looking for a Founding Engineer to join our early-stage team. You’ll work closely with the founders to shape and implement features end-to-end. This role is ideal for engineers who value craft, quality, and want to deliver modern AI products in healthcare.
What You’ll DoCollaborate directly with co-founders to take features from idea to production.
Design, develop, and deploy full-stack solutions that scale to hundreds of providers.
Orchestrate long-running AI agent tasks with reliable execution and retries.
Build systems to submit clinical information via numerous website portals, using hybrid LLM + computer-use techniques.
Create tools to audit patient clinical documentation against payer-specific guidelines with inventive LLM engineering.
Implement user-facing features with modern web development patterns and best practices.
A skilled software engineer with 2–10 years of experience.
Proficient in system design and full-stack development.
Comfortable working across the stack, taking on new challenges outside your comfort zone, and thriving in ambiguity.
Experienced with Next.js, React, and TypeScript.
Hands-on experience with LLMs in agent workflows (structured outputs, function calling, etc.).
Passionate about the craft of software engineering and building high-quality products.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

