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.
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 or San Francisco offices.
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
Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com http://commure.com. Any emails from other domains are not affiliated with our organization.
Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
