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$ cat jobs/senior-full-stack-product-engineer-ai-products-solv-bf48525bf476.json

Senior Full-Stack Product Engineer, AI Products

solv·US·United States·senior
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Being sick or injured is painful. Getting better shouldn’t be. Most industries have been transformed by new technology. Healthcare is still waiting — and you can help change that. Our mission is simple but ambitious: make healthcare accessible, transparent, and effortless for all. We put the consumer at the center, move fast and partner with forward-thinking providers to deliver software that makes care better, faster, and more human. This is work with real-world stakes — and you can help lead the way. Solv is building AI-powered healthcare infrastructure that makes everyday care easier for patients and the teams who care for them—from finding and receiving care to helping clinics reduce manual work, improve access, and run better operations. Near-term work will likely include voice and other AI agents supporting scheduling, billing, and additional healthcare workflows. However, this is a broader product-engineering role, and the problems and technologies will evolve. We’re looking for a senior generalist with strong web fundamentals, product judgment, curiosity, and ownership. You will work closely with a product manager to shape solutions while owning technical decisions, execution, production quality, and results. You do not need to have worked professionally on an AI-native team, but meaningful hands-on AI work is required. That experience may come from production work, internal tools, prototypes, open source, personal projects, or self-directed experimentation. You can expect to: Partner with product, design, customers, and engineers to turn business and user problems into shipped improvements. Build across the full stack, including frontend experiences, backend services, APIs, relational data models, integrations, and AI-powered workflows. Take ideas from early exploration through implementation, production rollout, and iteration. Build scrappy prototypes to learn quickly, then develop reliable production systems when an opportunity is proven. Improve AI syste