Senior Software Engineer, Fullstack

The Role

We’re looking for a Software Engineer to help architect, build, and productize our AI/ML infrastructure. You'll be the bridge between research, product, customers, and engineering, driving AI adoption from strategy through production at scale.

This role is ideal for someone who thrives in early-stage environments, enjoys owning things end to end, and wants their work to have a measurable impact on an industry that desperately needs modern infrastructure.

Benefits and Pay

Our headquarters are located in New York City. This is an in-office role. We value in-person collaboration — we host offsites, outings, and team meals to stay connected as people, and offer office lunch and a fully stocked snack bar.

We provide competitive base compensation along with stock options. Compensation for this role depends on experience and interview performance. We offer generous employer-sponsored health and dental coverage, nine company holidays, and unlimited PTO ("take what you need").

Responsibilities

Design and evolve a modular, service-oriented architecture to power configurable healthcare workflows at scale.; Build a workflow orchestration engine capable of handling thousands of concurrent stateful tasks (credentialing, verification, enrollment).; Define and optimize integration frameworks to connect with thousands of external systems — web portals, APIs, PDFs, spreadsheets.; Drive reliability, auditability, and performance through observability, self-healing, and clear fault-domain boundaries.; Lead the design and deployment of AI-powered digital workers — LLM- and rules-driven agents that perform operational workflows end-to-end.; Evaluate AI tools, frameworks, and third-party APIs, ensuring alignment with platform goals and data protection requirements.; Partner with product, engineering, and analytics to discover use cases, build features, and deliver value; Engage with customers to understand operational challenges, validate assumptions, and iterate solutions quickly

Requirements

5+ years experience building and scaling complex, distributed systems or workflow-heavy SaaS platforms.; Proven ability to own architecture and make high-stakes technical decisions in ambiguous, high-growth environments.; Deep understanding of modern cloud architecture and full software stacks.; Excellent communication — able to clearly explain technical trade-offs to technical and non-technical audiences alike.

Nice to have

Experience with workflow orchestration frameworks or event-driven architectures.; Contributions to open-source projects, publications, or active technical presence.; Open-source contributions, publications, or technical blog presence

Benefits

Want to lead AI projects from idea to deployment; Want to own architecture, projects, and culture — not inherit them.; Thrive in a 0→1 environment , building from scratch and scaling from concept to production.; Care deeply about impact — accelerating patient access by fixing the infrastructure of healthcare.; Believe great products emerge from tight collaboration between product, engineering, and operations.; Want your work to outlast you — building systems that become part of healthcare’s invisible infrastructure.; High-impact work - Tackle bottlenecks that slow down provider access to patients; Real-world AI – Build intelligent systems that reason, act, and automate in production.; Cross-functional exposure - Collaborate with customers, clinical ops, engineers, and founders; Early-stage upside - Equity, early influence, and a high-growth trajectory; People-first culture - Mental health time, and a focus on outcomes, not hours