> Markdown version of [/jobs/ext/3885131-senior-software-engineer-full-stack](https://www.wearedevelopers.com/jobs/ext/3885131-senior-software-engineer-full-stack). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer (Full-Stack) - **Company:** David Joseph & Company - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $170,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Quality, Python (Programming Language), Large Language Models, Generative AI, Backend - **Published:** October 23, 2026 - **Apply:** https://www.thejobnetwork.com/job/92732e88-c1d2-42de-8bd5-7ea1869caddf/senior-software-engineer-fullstack ## About the Role * 5-10 years in backend-leaning full-stack software engineering * Hands-on experience at an early-stage startup (pre-seed through Series B) * Strong, demonstrable technical depth - someone who ships quickly and can clearly explain their own code * Strong proficiency in Python for backend development * A clear track record of excellence (for example, a top-tier university, a high-growth startup, leadership roles, or standout technical involvement) * Strong communication skills and a high degree of ownership * Authorized to work in the US without sponsorship (US citizen or green card holder) Nice to Haves * Experience with, or genuine interest in, healthcare or health-tech AI * Experience building with production LLMs or generative AI ## Description 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 * Build and ship complex backend services and infrastructure that interface with LLMs and generative AI models * Own zero-to-one projects end to end, from MVP prototypes to hardened, scalable, secure production systems * Help scale existing, widely adopted products as they roll out to more organizations * Improve backend architecture, observability, and code quality * Work within a flat engineering structure, directly alongside other engineers and the CTO Tech stack: Python backend; production LLM / generative AI systems, * Work on the leading AI documentation product in home health, already saving clinicians hours every day * Ship new generative AI capabilities into real clinical workflows on a weekly basis * High ownership on a small, flat team building core systems that thousands of clinicians rely on