INTERNSHIP DETAILS

Agent Engineering Intern

CompanyCheiron
LocationLos Altos
Work ModeOn Site
PostedSeptember 2, 2026
Internship Information
Core Responsibilities
Design and implement new agent-driven workflows that include task decomposition, tool use, and state management. Build backend services and data models while ensuring agent outputs are grounded in evidence through robust retrieval and evaluation systems.
Internship Type
intern
Salary Range
$35 - $55
Company Size
24
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Cheiron is building the AI-native operating system for drug development — the system where biopharma teams execute scientific, clinical, regulatory, and competitive workflows end-to-end on a unified intelligence layer. Cheiron integrates literature, clinical trials, regulatory precedent, safety data, and patents into a single Lifesciences Knowledge Graph. On this structured substrate, workflow-native AI agents produce decision-ready outputs — grounded in cross-domain evidence, fully traceable, and built for real-world execution. Try Cheiron → https://www.cheiron.bio
About the Role

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, not an AI research internship. 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, failure cases, and incomplete evidence.

  • Work directly with engineers and domain experts, demonstrate progress frequently, and make pragmatic scope decisions.

Requirements

  • Currently pursuing an undergraduate or master's degree in computer science, computer engineering, or a related technical field.

  • Strong programming fundamentals and experience building a substantial software project, developer tool, backend system, or open-source contribution.

  • Hands-on experience building a nontrivial agent, retrieval system, tool-using workflow, evaluation harness, or multi-step automation system.

  • Clear personal ownership of the work: you can explain what you implemented, the decisions you made, and what you would improve.

  • Ability to reason about state, failure modes, grounding, evaluation, and engineering tradeoffs—not only prompts and model selection.

  • High agency and comfort working through ambiguous problems in a fast-moving environment.

  • Ability to work fully in person in Los Altos. Semester or quarter interns must commit at least 20 hours per week; summer interns should be available full time.

Nice to Have

  • Experience with Python, FastAPI, Postgres, agent frameworks, retrieval systems, or vector databases.

  • Backend, distributed-systems, infrastructure, data-pipeline, or end-to-end product experience.

  • Experience with tests, deployment, observability, security, or reliable failure handling.

  • Experience building systems involving citations, provenance, human review, or other high-stakes correctness requirements.

  • Strong open-source work, prior software-engineering internships, or an independently shipped product with real users.

Compensation

$35–$55 per hour. Exact compensation within the range depends on demonstrated expertise, relevant experience, and the time the student can commit.

Location, Relocation & Visa

This role is fully in person in Los Altos, CA. Academic-term interns must be able to work from the office at least 20 hours per week; summer interns should expect a full-time commitment. Relocation assistance may be offered selectively to a strong candidate and is not guaranteed. Candidates of any nationality or visa status may be considered when the internship can be employed legally; candidate-specific work authorization must be confirmed before employment begins.

Interview Process

Semester/quarter route:

  • 30-minute introductory call → one-day onsite in Los Altos → decision.

Summer route:

  • 15-minute introductory call → take-home assignment → take-home interview → interview with Yeongjun → decision.

  • For some summer candidates, the final two interviews may instead be combined into a one-day onsite in Los Altos.

Equal Opportunity & Accommodation

Cheiron is an equal-opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

Key Skills
PythonFastAPIPostgresAgent frameworksRetrieval systemsVector databasesSoftware engineeringBackend developmentDistributed systemsData pipelinesObservabilitySystem architectureTask decompositionAPI developmentEvaluation harnessAutomation
Categories
TechnologyEngineeringSoftwareScience & ResearchData & Analytics