Hims & Hers is looking to build the core infrastructure that powers their next generation of AI-powered health experiences, aiming to improve patient care, make providers more effective, and simplify complex health operations.
Requirements
- 4+ years of professional full-stack experience, spanning backend APIs, frontend apps, infra, and data systems.
- Proficient in TypeScript (Node.js, React) and Python (data pipelines, ML evaluation, orchestration).
- Familiarity with LLM- or ML-based systems, including prompt orchestration, evaluation harnesses, or RAG pipelines.
- Experience with workflow orchestration tools
- Understanding of system design for AI workloads — including state management, retries, idempotency, and performance optimization.
- Experience with data/ML infrastructure (Databricks, AWS, vector stores, or BigQuery).
- Awareness of AI lifecycle management — from experimentation and evaluation to safety and deployment.
Responsibilities
- Design and build scalable AI workflow systems — including orchestration runtimes, SDKs, and observability pipelines that power real-time, intelligent experiences.
- Develop end-to-end features using TypeScript (Cloudflare Workers, React/Next.js) and Python (Databricks, evaluation, data processing).
- Integrate and evaluate large language models (LLMs) and other ML systems (OpenAI, Anthropic, Vertex, Databricks) via a unified AI Gateway.
- Build tool connectors and APIs for our internal domains — EHR, Pharmacy, Payments, Orders, Care — enabling safe and automated cross-system workflows.
- Develop evaluation and feedback systems that measure quality, grounding, latency, and safety of AI-powered flows.
- Partner closely with AI, Product, and Infra teams to design, prototype, and iterate quickly — turning research into production capabilities.
- Contribute to shared TypeScript and Python SDKs that standardize event schemas, tool contracts, and developer experience across Applied AI.
Other
- Curious, action-oriented, and deeply technical
- Fast learner who thrives at the intersection of AI, systems, and product engineering.
- Care about building technology that improves patient care, makes providers more effective, and simplifies complex health operations.
- A bias toward action and iteration — you build fast, validate ideas early, and improve based on results.
- Collaborative mindset, with strong communication skills.
