Senior Full-Stack Product Engineer, AI Products

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.

• 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 systems using evaluations, production traces, customer feedback, product data, and operational signals.
• Design for uncertainty through testing, observability, guardrails, fallbacks, auditability, and human escalation.
• Build enterprise healthcare products that account for privacy, permissions, edge cases, data quality, reliability, and supportability.
• Explore new AI capabilities while balancing speed, quality, safety, cost, customer value, and maintainability.
• Use AI development tools extensively while retaining ownership of technical decisions and production quality.

• Have 5+ years of experience building and maintaining production web applications.
• Have strong senior-level fundamentals across frontend development, backend architecture, APIs, relational database design, testing, performance, and production debugging.
• Take ownership of ambiguous problems: you investigate deeply, create clarity, make sound decisions, and drive work forward without waiting for a fully specified solution.
• Have built or deeply explored an AI system beyond basic prompting or a thin API wrapper. Examples include a RAG pipeline, automated or tool-using agent, evaluation system, AI workflow, or model adaptation or post-training experiment.
• Can explain what you built, why you chose the approach, where it failed, how you evaluated it, and what you learned.
• Actively investigate emerging AI capabilities through hands-on experimentation and can identify where they may create meaningful product or business value.
• Know how to move quickly without confusing a promising prototype with a production-ready system.
• Work effectively with product managers while independently owning technical decisions and execution.
• Are willing to talk directly with customers, understand their workflows, and turn their problems into shipped improvements.
• Are motivated by measurable patient, customer, and business outcomes.
• Bring high standards, low ego, and a willingness to dig into whatever problem will help the team succeed.

• Experience with LLM applications, agents, retrieval, tool calling, evaluations, or AI observability.
• Experience with voice systems, telephony, or…