AI Product Engineer — Careers
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AI Product
Engineer

Department
Engineering
Location
SoMa, San Francisco
Salary
$160K–$260K
Openings
2–4 roles
Position
AI Product Engineer
Employment
Full-time · Hybrid
Experience
2–8 years
01 — Overview

About the Role

We’re looking for an AI Product Engineer with 2–8 years of software engineering experience (ideally 4–6) who has at least one clear “peak” in their career — a top-tier school, a rapid promotion trajectory, early-stage startup growth, or a standout team at a top company. You’ll bring high ownership and end-to-end product thinking to backend-heavy systems in Python, building and scaling the agentic AI workflows that power reliable, long-running clinical reasoning across major health systems. Bonus points for healthcare or health-tech experience, familiarity with Rust, or time at a fast-growing platform company.

02 — Responsibilities

What will you be doing?

  • Take full ownership of product features end-to-end — from ideation and design through implementation and deployment — on a team with no product managers
  • Build and scale agentic AI workflows and agent primitives that power reliable, long-running clinical reasoning tasks across major health systems like Mayo Clinic and Cleveland Clinic
  • Split your time roughly half-and-half between generating code and planning, reviewing, and thinking deeply about user impact and technical architecture
  • Work primarily on backend infrastructure (~65% backend, 35% frontend) using Python, Rust, React/TypeScript, and Kubernetes on AWS
  • Collaborate async with a flat, seven-person engineering team where everyone works across the full product — no silos, no standups, minimal meetings
  • Develop deep product intuition by interfacing with clinicians, end users, and customer call recordings to translate clinical needs into actionable technical solutions
  • Contribute to building net-new feature sets (30–40% of work) on top of existing infrastructure, with very little maintenance burden
03 — The Details

Role Details

Salary$160K - $260K
Hybrid work policy3 days/week in SoMa, SF · relocation support available
EmploymentFull-time position
LocationSoMa, San Francisco, CA
Visa sponsorshipAvailable — new H-1B applications and transfers
Hiring count2–4 candidates for this role
EquityCompetitive equity
Tech stack
Python Rust React TypeScript Kubernetes AWS Django Celery Helm Kustomize Terraform Agentic AI / LLMs
Why this role

Highlights

01

Rocket-ship growth: $200K to $10M ARR in a single year, targeting $40M by end of 2025. Series B just closed with Sequoia (Alfred Lin) and Khosla Ventures (Vinod Khosla) — $30M+ raised to date.

02

$160K–$260K base + competitive equity, with visa sponsorship available (including new H-1B applications and transfers) and relocation support for the move to SoMa.

03

A genuine frontier AI problem: healthcare users aren’t developers, so building agentic clinical reasoning workflows is a fundamentally harder product problem than Cursor or Claude — and you’re solving it at scale, 24/7, across major health systems.

04

High autonomy over what you build and when, on a flat seven-person team with no PMs, no standups, and minimal meetings. Founded by Stanford CS founders who built clinical AI models before starting the company.

What we need

Key Requirements

  • 2–8 years of full-time software engineering experience (ideally 4–6), with at least one clear “peak” — a top school, a fast promotion, founding engineer at a recognizable company, or a standout team at a high-bar org
  • Strong Python proficiency for backend development, plus frontend experience with React/TypeScript; familiarity with Rust and infrastructure tooling (Kubernetes, Helm, AWS) a plus
  • End-to-end product feature ownership without PM support — high ownership, reliability, and initiative to drive work from ideation through deployment
  • Bachelor’s or advanced degree in Computer Science or a related field; a CS degree from a top-10 university (Stanford, MIT, Caltech, etc.) preferred
  • Experience with agentic workflows or LLM-based systems; early employee at a VC-backed startup, with a healthcare or health-tech background a plus. Able to work in-office 3x/week in SoMa, San Francisco