Senior Software Engineer, R&D
Senior engineer on the R&D team building production infrastructure for LLM agents, browser agents, and self-improving harnesses. Owns the full lifecycle from research through customer delivery.
About the job
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
Skills
Python, JavaScript, React, Docker, Kubernetes, LLM APIs, Ai-Powered Features
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