Staff Software Engineer, Applied AI Team

About Fabric Health

About the Role

What You'll Do

• Month 1: Dive into the widget, portal, and service layer to become an owner of all of them, shipping meaningful changes and forming a tight working relationship with our other engineers and partners.
• Month 3: Take full ownership of a major integration or platform initiative and step into the role of primary reviewer for all application-side design decisions.
• Month 6: 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.

• Build the AI Plumbing: Operate the critical application work that supports AI Intake, including encounter data flow, integration against partner platforms, and every surface a new customer touches (typically managing one in flight and another right behind it).
• Own Internal Tooling: Manage and scale the growing set of internal tools that your own team and our clinicians depend on.
• Drive Full-Stack Architecture: 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.
• Partner with AI Engineers: Keep the application layer tightly coordinated with the AI/ML engineers who own the conversation pipeline, prompts, and clinical-safety layer.
• Protect Shared Surfaces: Ship and version components that other teams consume as a dependency, explicitly protecting those consumers from expensive breaking changes.
• Maintain Operational Excellence: Keep dependencies current and operate what you build so maintenance stays a daily habit rather than a quarterly crisis.

Why You Might Be a Good Fit

• You are drawn to systems you can own and live with, taking real satisfaction in making quickly built foundations durable rather than just shipping and handing them off.
• You care deeply about the patient on the other end, understanding the real safety stakes of a live clinical product and wanting your work to matter.
• You are a fluent full-stack engineer who moves easily from a React widget down through a Python service and its data layer, making sound architectural calls across the entire stack.
• You are comfortable with agentic coding tools and spec-driven development practices.
• You act as a genuine partner to data scientists, knowing enough about LLM application development to speak the language of prompts, evaluation, and latency tradeoffs without needing to own the models yourself.
• You think in dependencies and blast radius, understanding why breaking changes are expensive and designing shared surfaces with consuming teams in mind.
• You write clearly, mentor generously, and treat making other people's work easier as a core part of the job.

This Might Not Be The Right Fit If...

• You want to design the models and prompts yourself (this role strictly partners with the people who do that).
• You prefer greenfield builds that you hand off, rather than inheriting and shoring up systems other people started quickly.
• You prefer to specialize narrowly in the frontend or backend rather than owning the full stack architecture.
• You view keeping dependencies current, operating what you ship, and mentoring junior engineers as overhead.

Your Qualifications

• 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.

Bonus Points

• 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.

The national pay range for this role is $150,000.00 - $190,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time.

At Fabric, we believe that a diverse workforce is essential to our success. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected characteristic. We actively encourage individuals from all backgrounds to apply.

Recruitment Fraud Alert: Protect Yourself

• Official Interview Tools: We use Gem for our recruitment process and Google Meet for all video interviews. Google Meet is always the platform used for your first interview; you will never be sent a Zoom link to set up or conduct an initial interview. All interviews are conducted via video unless specifically stated by our team as an audio call. We never conduct interviews via chat, social media, Skype, or WhatsApp.
• Zoom Usage: Zoom is utilized only for specific meetings set directly by our team for purposes outside of the standard interview process (e.g., coordination or onboarding discussions). It is never the first link you will receive from us.
• Authorized Contact & Texting: Fabric will only contact you if you have submitted an application or if you are connected to a current employee who shared your information with us. We will only send text messages if you have provided explicit authorization and consent, either through your application or while communicating directly with our team. If you have not explicitly authorized us to reach out, treat any SMS or unsolicited outreach as fraudulent and do not respond.
• Sensitive Data: We will never ask you for sensitive personal or financial documents (ID, banking info, SSN) during the application, interview, or candidacy stages. All sensitive data is handled through secure internal systems post-offer.