Staff Software Engineer, AI Developer Experience

Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.

We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.

We’re looking for a Staff Software Engineer, focused on AI Developer Experience, to build the systems that let our entire company ship products. Product managers, designers, and operators at Thesis increasingly build with AI, and we want to harness that energy without losing the rigor, security, and maintainability that a healthcare business depends on.

Your job is to design and build the paved road: the typed API framework, tenant-safe data access layer, migration tooling, and progressive delivery infrastructure that make it easy to do the right thing and impossible to do the dangerous thing.

This is a foundational hire. You’ll set the patterns that shape how dozens of people write code over the next several years. You’ll work directly with engineering leadership on what gets enforced structurally, what’s reviewed by humans, and what’s monitored at runtime, and you’ll be the person product managers come to when they’re stuck.

• Design and build the platform primitives. The data access layer (TypeScript + Drizzle + Postgres), the endpoint framework, feature flag integration, progressive delivery tooling, migration scaffolding, and the KV/events primitives that absorb most schema requests. You own the architecture and the code.
• Encode conventions into the type system, CI, and runtime. Where other teams would write a style guide, you write a TypeScript signature, a lint rule, a Semgrep check, or a runtime assertion. Humans shouldn’t have to remember what the system can enforce.
• Enable non-engineer builders. Design the scaffolders, documentation, and agent-style guides that let a product manager with AI assistance ship a well-formed feature on their first day. Your users are as much PMs as they are engineers.
• Partner with the engineering team on reviews and unblocking. Run the schema review process. Extend the data layer when new patterns emerge. Shape the CODEOWNERS structure. Coach engineers who rotate onto “PM enablement” duty.
• Own the governance rituals. Weekly platform review, monthly architecture review, quarterly cleanup. Watch for drift and duplication. Delete what doesn’t earn its keep.
• Handle production incidents on the platform. When something breaks in the shared infrastructure, you’re the person who figures it out and fixes the class of bug, not just the instance.

• Staff-level engineering experience: 8+ years building production systems, with meaningful time spent on platform, infrastructure, or developer-experience work. You’ve set patterns that outlasted you at previous companies, and you have opinions about what makes them good or bad.
• Deep TypeScript and Postgres fluency: You can read and write advanced TypeScript types without flinching. You understand Postgres well enough to reason about indexes, locks, query plans, and migrations on live tables. Direct experience with Drizzle, Kysely, or similar typed query builders is a strong plus.
• A safety-through-types instinct: You reach for the type system and the framework before you reach for documentation. You’ve shipped abstractions where “the wrong thing doesn’t compile”—not just “the wrong thing is discouraged in the style guide.”
• Security literacy: You understand multi-tenant isolation, the common vulnerabilities in web applications, and why defense in depth matters. You’ve set up CI security tooling (SAST, secrets scanning, dependency auditing) or are eager to.
• Empathy for non-engineer users: You can design an API surface that a product manager can use confidently, and you’re genuinely interested in what makes the difference between a tool people adopt and one they route around.
• AI fluency: You’ve built with modern AI coding tools and have a considered view of where they help, where they mislead, and what guardrails matter most when AI is generating code at scale.
• Healthcare awareness: Experience building systems that work with sensitive data and regulated environments, or a strong interest in learning healthcare workflows and constraints.
• Clear communication: Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
• NYC-based: You are based in New York and excited to be in-office ~3 days per week.

• Experience designing API frameworks (tRPC, typed REST, GraphQL) where conventions are enforced by the framework itself, not by review.
• Experience running progressive delivery systems (LaunchDarkly, Statsig, or homegrown).
• Experience in a company that successfully enabled non-engineers to ship production code—or a company that tried and failed, and you know why.
• Experience with Postgres row-level security in production.

Target compensation for this role is $225–$275k, plus equity and a generous benefits package.

Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.