Python · PyTorch
ABOUT THE ROLE
Join an early-stage healthtech team building AI agents for clinical trial recruitment and patient support. You will own the development of patient-facing conversational agents, helping make trial recruitment more efficient while maintaining safe, reliable interactions in a regulated field.
WHAT YOU'LL DO
- Build and orchestrate AI agents that coordinate patient recruitment across multiple clinical trials.
- Review production conversation traces, identify failure scenarios, create evaluations, and improve the agent harness.
- Integrate health profile data sources to support timely, relevant patient outreach and trial screening.
- Scale language model experiences across voice, SMS, and email while maintaining consistent, personalized conversations.
- Evaluate emerging agent tools and research, and incorporate useful advances into the software platform.
WHAT WE'RE LOOKING FOR
- Zero to four years of experience as a software engineer, agent engineer, or applied AI engineer.
- Hands-on engineering experience focused on AI agents or large-scale AI applications, including conversational agents and agent harnesses used beyond prototypes.
- Experience developing evaluations and tracing infrastructure for production AI agents.
- Strong software engineering fundamentals, with applied LLM experience and familiarity with tools such as LangGraph, Vercel AI SDK, voice AI, SMS APIs, and multi-agent orchestration.
- An undergraduate degree in computer science, mathematics, or a related field, or equivalent strong technical foundations.
- A proactive