> Markdown version of [/jobs/ext/3714720-software-engineer](https://www.wearedevelopers.com/jobs/ext/3714720-software-engineer). 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). --- # Software Engineer - **Company:** NestMed Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $150,000.0 - $280,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Android Software Development, Audit Trail, Clinical Data Repository, Django Web Framework, Python (Programming Language), PostgreSQL, Single Sign-On, TypeScript, Web Applications, Real Time Systems, ReactJS, Fast Healthcare Interoperability Resources, Large Language Models, Backend, Agentic-AI, Kotlin, Core Data, Health Level Seven International, User Administration - **Published:** October 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=424842f005abf1ff ## About the Role * 3+ years building and shipping product, with solid full-stack fundamentals. * You use AI heavily in how you write software. * You've worked at a startup and can decide what to do without a spec. * Product sense: you listen closely to users, go deep on their problems, and translate what they need into the right technical decisions. * You've built something people depended on, where getting it wrong had real consequences. Bonus * Experience in healthcare or another regulated industry (HIPAA, HL7/FHIR). * LLM products in production: evaluations, multi-step model workflows, agents. * Our stack: Python/Django, Postgres, TypeScript/React, Swift or Kotlin, AWS. * Audio, real-time systems, or mobile apps that work offline. ## Description * Build the operating system itself: the core data model and workflows that every part of an agency runs on, including patients, visits, orders, coding, QA, and billing. * Build AI agents that do real clinical and operational work end to end, with clinicians kept in control. * Build AI-powered product that clinicians rely on in the middle of patient care, where accuracy and speed both matter. For example, turning visit audio into structured clinical data that drives everything downstream. * Own features from start to finish. You'll talk to clinicians and agency leaders, decide what to build, ship it, and watch it run across hundreds of thousands of visits a day. * Connect to the medical record systems our customers depend on, and build the enterprise basics large health systems require: single sign-on, account provisioning, and audit trails. * Work wherever the problem is: the Django and Postgres backend, the web app, or the native iOS and Android apps.