Senior Software Engineer, R&D

We 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.

- Embedded into an existing product — e.g., the AI Copilot in our practice management suite.

- 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.

- 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

- 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