Founding AI Agent Engineer
Posted Updated 3
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Summary
Founding engineer who designs, launches, and continuously improves a fleet of conversational AI agents that recruit and pre-screen patients for clinical trials across voice, SMS, and email. Work centers on LLM evals, tracing, prompt chaining, agent frameworks like LangGraph, and safety in a regulated healthcare setting, on-site in San Francisco.
Responsibilities
- Design and launch a group of AI agents that work together to recruit and support patients across many active clinical trials.
- Own the full improvement cycle for the agents: review live conversations, turn failures into automated tests, and keep tuning how the agents run.
- Connect health-profile data so agents reach patients at the right moment and quickly line up large numbers of pre-screened candidates when a trial opens.
- Extend the agents across voice, text messages, and email while keeping conversations consistent, personal, and empathetic.
- Bring in new agent frameworks, memory approaches, and tools to strengthen the core product.
- Make sure the agents are reliable and safe in a heavily regulated healthcare setting.
Requirements
- 0–4 years in software engineering, agent engineering, or applied AI.
- Has launched conversational AI agents to real consumers at scale, not just internal tools or side projects.
- Strong working knowledge of LLM testing, live-system tracing, prompt chaining, and agent control loops.
- Able to work on-site 6 days a week in the San Francisco Bay Area.
- Open to candidates on US work visas (OPT, H1B transfers).
Skills Required
- Conversational AI & multi-agent systems
- LLMs, prompt engineering & evals
- Agent tracing & observability
- LangGraph, Vercel AI SDK
- Voice AI & SMS/email integrations
- CRM / clinical trial system integrations
- AI safety guardrails
