Engineering Lead, Applied AI

Allswell•San Francisco, CA

About The Position

Allswell is building the leading mental health company for the LGBTQ+ community. Affirming, high-quality care is still hard to find and harder to afford, and we are fixing that with a specialized clinical model, technology that makes our clinicians more effective, and insurance coverage that puts real care within reach. Clinical outcomes are strong, and growth is fast. Since launching, we have served hundreds of clients across Maryland, Virginia, and Washington, DC, and are in-network with Medicaid and major commercial plans in all three. 79% of clients report reduced depression, and 72% report reduced anxiety after 60 or more days of care. We are expanding our services and footprint quickly, and building the team to match. Backed by leading healthcare and impact investors, we have the runway to do it right. About the Role As Allswell’s Engineering Lead, you’ll report directly to our CTO and lead the development of the AI-powered product suite that makes our clinicians more effective and helps us deliver better, more personalized care. You’ll also work across patient and provider growth, building the experiences that bring patients into care and help providers get up and running. This is a senior, high-ownership role. You'll own our AI codebase as the most senior engineer on a growing team. Today, you'll build alongside our offshore engineers. Over time, you'll grow the team, mentor engineers in-house, and set the bar for how we ship code.

Requirements

6+ years of software engineering experience, including applied AI work taken from prototype to production and shipped to real users
Deep familiarity with modern AI systems: LLM APIs, RAG, agentic systems, and eval harnesses
Technical leadership experience: have set the quality bar for an engineering team and can make strong architectural decisions
Comfortable working across product, engineering, and clinical teams
Strong product instincts: care about the user and the product experience, not just how the code works
Bachelor's degree in computer science or a related field

Nice To Haves

Previous experience as a founding or early engineer at a fast-growing startup
Previous experience in healthcare or another regulated environment
A strong point of view on where AI is best used and where it should be avoided
A bias toward shipping: can move quickly without sacrificing quality

Responsibilities

Lead the development of the AI-powered product suite that makes clinicians more effective and helps deliver better, more personalized care.
Work across patient and provider growth, building experiences that bring patients into care and help providers get up and running.
Own the AI codebase as the most senior engineer on a growing team.
Build alongside offshore engineers.
Grow the team over time.
Mentor engineers in-house.
Set the bar for how the company ships code.