Los Altos, CA · Engineering · Internship · Semester/quarter or summer · Fully in-person

Company Overview

Cheiron recently raised an $8M seed round led by Menlo Ventures, and now has $13M total raised. The round also included strategic support from Moderna co-founder Robert Langer, former Pfizer Chief Medical Officer Freda Lewis-Hall, Chai Discovery co-founder and CEO Josh Meier, former Starbucks CEO Laxman Narasimhan, and former Apple AI chief John Giannandrea.

Cheiron is building the first AI-native operating system designed to represent an entire drug program as a single connected system. The platform helps biopharma teams represent, reason over, and stress-test the claims, evidence, decisions, and commitments, driving the drug program to completion.

About the Role

We're looking for an Agent Engineering Intern to build new agent-driven workflows inside Cheiron's product.

Cheiron's agents do more than generate an answer. They break complex objectives into steps, retrieve evidence, call tools, maintain state across long-running work, recover from failures,



and produce structured results that a person can review and trust. You will own a bounded workflow and help take it from an ambiguous problem to a reliable, working product.

This is an Applied Engineering Role. We care about strong software fundamentals, hands‑on ownership, and evidence that you have built nontrivial systems yourself. The role is best suited to undergraduate and master's students who are already serious builders.

What You’ll Do
- Design and implement new agent workflows with explicit state, task decomposition, tool use, and typed outputs.
- Build retrieval and citation paths that ground important outputs in source evidence.
- Add evaluation, tracing, retries, observability, and recovery behavior for multi‑step execution.
- Build the backend services, data models, APIs, and focused product surfaces required to make the workflow useful.
- Test agent behavior against realistic success cases,

📌 Agent Engineering Intern (Madrid)
🏢 Cheiron
📍 Madrid