Product Engineer, Full-Stack

About us 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. About the role We are looking for a product-minded Full-Stack Software Engineer to help design, build, and scale Thesis’s core platform. This is a broad-scope, hands-on engineering role for a creative builder who cares deeply about product quality, user experience, and technical rigor. As an early member of the engineering team, you will play a foundational role in shaping Thesis’s product, systems, and engineering culture. Responsibilities: Own core systems: Architect, implement, and maintain business-critical components that define and power Thesis’s product, including frontend experiences, backend services, and data flows. Build end-to-end features: Lead the full lifecycle of feature development, from greenfield technical design through production deployment and iteration. Partner cross-functionally: Collaborate closely with founders, product, and design to translate user, clinical, and business needs into scalable technical solutions. Continuously evolve the platform: Improve system architecture, scalability, developer experience, and operational excellence as the company grows. Build hands-on with AI/ML: Dive into our AI/ML codebase (agents, LLM/RAG systems, evaluation, and supporting pipelines) to design, implement, and iterate on product features that measurably improve user experience and outcomes. We expect you to have: Technical depth: 4+ years of professional experience as a full stack software engineer delivering high-quality, production-grade software. Full-stack expertise: Strong experience across the stack, with deep strength in either frontend or backend technical design and implementation. Modern engineering toolkit: Hands-on experience with technologies such as TypeScript, Node.js, React, Next.js, Postgres, RPC-based architectures, and cloud platforms like AWS. Product and UX mindset: A strong belief in great design and user-centered problem solving, with experience building intuitive, polished user experiences. AI fluency: Familiarity with modern AI technologies and an interest in applying LLMs and automation to development processes and real-world product challenges. 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....