3 months ago
Base Salary
$200k - $250k/yr
Responsibilities
- Architect, implement, and maintain business-critical frontend, backend, and data-flow components.
- Lead end-to-end feature development from greenfield technical design through production deployment and iteration.
- Collaborate with founders, product, and design to translate clinical, user, and business needs into scalable solutions.
- Improve system architecture, scalability, developer experience, and operational excellence.
- Build and iterate on AI/ML product features involving agents, LLM/RAG systems, evaluation, and supporting pipelines.
Requirements
- 4+ years of professional experience delivering production-grade software as a full-stack engineer.
- Strong full-stack expertise with deep technical design and implementation strength in either frontend or backend development.
- Hands-on experience with TypeScript, Node.js, React, Next.js, Postgres, RPC-based architectures, and cloud platforms such as AWS.
- Product and UX orientation with experience creating intuitive, polished user experiences.
- Familiarity with modern AI technologies and interest in applying LLMs and automation to product and development challenges.
- Experience with sensitive data and regulated environments, or strong interest in learning healthcare workflows and constraints.
- Ability to explain complex technical concepts clearly to technical and non-technical stakeholders.
- Based in New York and willing to work in the office approximately three days per week.
Benefits
- Target compensation is $200,000-$250,000 plus equity and a generous benefits package.
- NYC-based role with approximately three days per week in the office.
Tech Stack
Categories
Full StackProduct Engineering
About Thesis
Thesis targets key neurotransmitters and hormones tied to focus, learning, motivation, memory, stress resilience, and long-term brain health. Our Nootropic formulas enhance cognitive function to help your brain perform at its best. Thesis is pioneering a new wave of nootropics through data-driven formulations, iterative testing, and a relentless commitment to results.