About the RoleWe are seeking a Senior Software Engineer for our R&D team at Commure, the team taking emerging technology from inception to impact. We scout new capabilities - a frontier LLM that can chain tool calls, browser agents that can navigate the web, new agent harnesses that can self improve - and figure out how to productionize them for healthcare. Our job is the full arc: research the technology, productize it, deliver it to customers, and own it as a P&L until it graduates.
Graduation has taken the following shapes in the past:
- Embedded into an existing product - e.g., the AI Copilot in our practice management suite.
- Becomes its own product - e.g., Air, the EHR.
- Becomes an internal RCM workflow that saves the company millions annually - e.g., EOB web agents and appeal agents.
This role will be hybrid and based in our Mountain View, CA headquarters.What You'll Do- Build the infrastructure that orchestrates, evaluates, and runs sub-agents, including the channel adapters that intelligence flows through
- Get hands-on with the cutting edge - chaining tool calls across LLMs, deploying browser agents, building self-improving harnesses - and turn experimental prototypes into production-level tools and products
- Take a technology from first principles to production: research it, build it into a product, ship it to customers, and own it through graduation to something bigger
- Establish best practices for code quality, testing, deployment, and observability
- Collaborate with product managers, designers, and clinical experts to ship intuitive solutions that work in real clinical environments
- Be part of a fast-moving team that celebrates large ambition, ships daily, and makes decisions quickly
What You Have- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience, required
- Professional software engineering experience, ideally in a high-growth or startup environment
- Strong fullstack skills - Python on the backend (required), Javascript/React on the frontend, with working knowledge of containers and cloud (Docker, Kubernetes)
- Hands-on experience integrating LLM APIs or building AI-powered features in production
- Track record of driving work from early ideation to successful production deployment
- Strong debugging and problem-solving skills with a history of demonstrated resourcefulness
- Strong communication skills - comfortable working with both engineers and non-technical stakeholders including clinical teams
- Experience in fast-moving environments where shipping quickly is the norm
