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davidjoseph-co in San Francisco is seeking a backend-leaning full-stack engineer to help scale core services for an AI healthcare platform. You will own critical backend components interfacing with LLMs and generative AI, shipping MVPs to production.
The ideal candidate has 5–10 years in backend-leaning roles, startup experience, strong Python skills, a proven track record, and clear ownership and communication.
San Francisco · Hybrid (3 days in-person) · Full-time
Compensation: $170K–$230K + equity
Our client is a venture-backed healthcare AI company using generative AI to transform clinical documentation for home health providers — replacing slow, legacy software with tools that cut hours of daily administrative work down to minutes. Their technology is already adopted across hundreds of home health agencies serving tens of thousands of patients, and they're now expanding into a broader, AI-native platform.
Founded 2023 · Small Team · Industry: Healthcare, AI
You'd join a small, lean engineering team as a core, backend-leaning full-stack engineer with real ownership — scaling widely used production services and building new LLM- and generative-AI-driven workflows.
What you'll be doing
Tech stack: Python backend; production LLM / generative AI systems