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.
170k – 210k
Hybrid5+ YOEFullstack Engineering
About the role
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
PythonJavaScriptReactDockerKubernetesLLM APIsAi-Powered Features
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