Build AI agents that automate labor-intensive clinical study workflows—like drafting clinical trial documentation
Extend and improve our agent framework (built on pydantic-ai) and the infrastructure that supports it
Build data pipelines that give our agents access to the research and context they need
Collaborate directly with study project managers, clinicians, and other stakeholders to understand problems and deliver solutions
Do whatever it takes to ship—including scrappy UI work when that's what's blocking progress

Requirements

5+ years of experience writing production code in Python
Deep experience with LLMs—not just API calls, but defining tools, understanding failure modes, and developing intuition for how to get reliable results
Experience building agents that actually work in production
Comfort navigating complex dev environments (Docker, Kubernetes, cloud-based development) well enough to unblock yourself
Openness to occasional frontend work, especially with AI coding tools in your toolbelt
Ability to explain technical tradeoffs to PMs and clinicians and incorporate their feedback quickly
Self-direction and drive to move projects forward without detailed specs

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonLLMsdata pipelinesproduction codeagent frameworkpydantic-aiUI developmentfrontend developmentDockerKubernetes

collaborationproblem-solvingcommunicationself-directiondriveadaptabilityfeedback incorporationtechnical explanation