Staff/Senior Software Engineer (Backend + Applied AI)

About This Role

We’re building something that matters — and we need someone who can build with us.
If you’re the kind of engineer who likes taking a half-baked idea and turning it into a production-grade AI system, keep reading.

This isn’t a “wait for the spec” kind of role. You’ll be shaping architecture, shipping code, and collaborating across design, product, and research to bring next-generation AI features to life.

What We’re Looking For

You’re a builder. A problem-solver. Someone who’s comfortable with ambiguity and loves getting things into production.

Ideally:

• 5+ years post-college experience — bonus if most of it was at one place (we like people who see things through).

• Deep background in backend systems and applied AI.

• Proven track record of building, scaling, and shipping real-world AI products.

• Excitement for healthcare — or at least curiosity about how AI can make it better.

What You’ll Do

• Partner with Product, Design, and Engineering to define and deliver cutting-edge AI capabilities.

• Build and scale AI and LLM agent software in a fast-moving environment.

• Work hands-on across data pipelines, context systems, and cloud infrastructure.

• Bring new AI features from concept to production — fast.

The Essentials

• Experience: 3+ years professional backend experience post-college (internships don’t count). Full-time, long-term track record preferred.

• Stack: Go, Python, or similar. If your fundamentals are strong, you’ll pick it up.

• Architecture: Cloud/serverless (GCP preferred). You know how to build modern, scalable systems.

• AI/ML Exposure: Context Engineering, Embedding Systems, Semantic & Keyword Search, LLM Agent Design, probabilistic/statistical systems — you’ve worked with at least a few.

• Education: Bachelor’s in CS or related field from a top university.

Nice to Have

• Experience building healthcare or regulated AI systems.

• Comfort with analytics infrastructure and data pipelines.

• Passion for ownership — you care about outcomes, not just code.

How We Work

We’re remote-first, but most of the team is in the Bay Area, and we meet up regularly in San Francisco. Expect autonomy, velocity, and a high-trust culture.

If you want to work on hard problems, with a small team that moves fast and ships real AI products — this is it.