Staff Software Engineer

Fabric•United States,

3h•$150,000 - $190,000

About The Position

You will help lead application development for a live, patient-facing clinical product: an embeddable widget, a clinician portal, and the Python service layer between them. Because some of the system was built rapidly by a small team, parts of it need a durable owner to shore up the foundations before pushing new features. You will own these application surfaces end-to-end, advise on full-stack architectural decisions, and dive deep into the system to independently identify what needs improvement and what we should tackle next. You will work alongside our AI engineers to support Fabric’s flagship AI Intake system, ensuring the application layer and the machine learning models evolve in lockstep. This is a small, high-trust team that leans heavily on AI coding tools, spec-driven development, and effective test coverage. You will operate with real autonomy, shipping critical encounter plumbing and internal tools while still interacting regularly with other engineers and cross-functional partners.

Requirements

6+ years of professional full-stack web software experience, including at least 1 year operating at a Staff level and living with architecture you built.
Depth in TypeScript and React, with fluency in a modern server-rendered framework (we use Next.js).
Strong Python experience with an async web framework, plus the surrounding data layer (relational schema design, migrations, caching).
Experience building versioned dependencies consumed by other teams (widgets, SDKs, or component libraries).
Fluency with LLM application development to effectively partner with data scientists on prompts, evaluations, and cost tradeoffs.

Nice To Haves

Healthcare experience involving PHI, HIPAA, clinical workflows, or patient-facing surfaces with real safety stakes.
Familiarity with agent or workflow orchestration frameworks like LangGraph.
Experience designing for accessibility and internationalization from the start.
AWS background (especially Bedrock) and infrastructure-as-code.
Eval tooling experience (Braintrust, LangSmith, or custom-built equivalents).
Having been the first or second engineer on a greenfield product and having to live with it.

Responsibilities

Own the widget, portal, and service layer, shipping meaningful changes and forming a tight working relationship with our other engineers and partners within the first month.
Take full ownership of a major integration or platform initiative and step into the role of primary reviewer for all application-side design decisions within the first three months.
Deliver an end-to-end system that external teams depend on, and mentor potential junior engineers to the point where they independently own technical surfaces of their own within the first six months.
Operate the critical application work that supports AI Intake, including encounter data flow, integration against partner platforms, and every surface a new customer touches.
Manage and scale the growing set of internal tools that your own team and our clinicians depend on.
Advise on and make foundational architectural decisions, going deep enough into the system to independently identify what needs shoring up and where development should head next.
Keep the application layer tightly coordinated with the AI/ML engineers who own the conversation pipeline, prompts, and clinical-safety layer.
Ship and version components that other teams consume as a dependency, explicitly protecting those consumers from expensive breaking changes.
Keep dependencies current and operate what you build so maintenance stays a daily habit rather than a quarterly crisis.