--- title: 'Agent Engineering Intern at Cheiron' canonical: 'https://feeny.ai/job/agent-engineering-intern-cheiron-los-altos-syxgjpyd8nqw' type: 'job' last_seen: '2026-09-07' --- # Agent Engineering Intern at Cheiron - **Company:** Cheiron - **Location:** Los Altos, CA - **Employment:** internship - **Work type:** onsite - **Posted:** 2026-09-02 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/cheiron/36763c16-8996-4c66-b693-d48329413678 ## Job description 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, 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. ## 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 Backend Team → 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. ## About Cheiron ## Company Overview - **One-liner**: Cheiron is building the AI-native operating system for drug development, unifying clinical, regulatory, scientific, and competitive workflows on a single intelligence layer. - **Entity Type**: Private (Seed-stage – $4M raised in September 2025) - **Headquarters**: Palo Alto, California, United States (with offices in South Korea and India) - **Founded**: 2024 - **Founders**: Minseok Bae (CEO), Harshit Gupta (Co-Founder), Jason Park (Co-Founder & CPO) ## Core Business - **Primary industry**: AI-powered software for biopharma R&D, clinical development, regulatory affairs, medical affairs, and commercial strategy. - **Target customers**: B2B – biopharma companies, drug developers, and life science teams (enterprise). - **Mission/purpose**: To provide a unified evidence-to-decision platform where biopharma professionals can execute end-to-end workflows with traceable, verifiable AI outputs. ## Products & Services - **Cheiron AI Operating System**: A SaaS platform that integrates peer-reviewed literature, clinical trial data, regulatory filings, safety data, and patents into a single Lifesciences Knowledge Graph. Workflow-native AI agents produce decision-ready outputs (competitive landscapes, regulatory comparisons, target product profiles, safety signal write-ups) that are traceable to source evidence. Supports use cases across R&D, Clinical Operations, Regulatory Affairs, Medical Affairs, CMC, Quality, Pharmacovigilance, and Commercial. ## Market Standing - **Valuation/Market Cap**: Not disclosed. - **Key Metric**: Total Funding – $4.0M (Seed round led by SK Networks on September 4, 2025, with three investors). - **Notable Investors/Partners**: Lead investor SK Networks; other investors undisclosed. - **Growth Signals**: Headcount grew 56.2% YoY to ~20 employees (as of mid-2026). LinkedIn followers surged 163.5% in the past year. Monthly website traffic grew 235% (though starting from a low base). Actively used by professionals from leading biopharma organizations (specific names not publicly listed). ## Competitive Advantages - **Integrated Lifesciences Knowledge Graph**: Cheiron structures cross-domain evidence (literature, trials, regulations, safety, patents) into a single curated substrate, allowing AI agents to produce outputs that are grounded, traceable, and verifiable. - **End-to-end workflow coverage**: Unlike point-solution search tools, Cheiron addresses the full span of drug program deliverables — from research and drafting to review and regulatory submission prep. - **Evidence-linked verifiability**: Every answer is linked to its exact source passage, enabling users to pressure-test claims against authoritative evidence before submission to regulators or medical reviewers. ## Strategic Focus - **Current priorities**: Scaling from early traction to enterprise deployments. Deepening product capabilities for clinical development, regulatory affairs, medical affairs, and commercial workflows. Hiring for key roles (Product Manager, Market Access/HÉOR Specialists, Commercial Specialists) to expand into Boston and Palo Alto. - **Direction for growth**: Building the operating layer for drug programs across biopharma, moving beyond search into full workflow automation while maintaining traceability. ## Why Work Here - **Culture**: Early-stage, fast-shipping environment with “comfort with ambiguity, intensity, and the rhythm” of a startup. The team values systems thinking, pragmatic product decisions, and deep pharma domain expertise. - **Work policy**: On-site presence expected (Palo Alto & Boston) based on current job postings. - **Notable perks/engineering culture**: Opportunity to define how AI agents reason over clinical and regulatory evidence; work directly with pharma users (clinicians, regulatory, medical affairs, commercial teams); own 0→1 product development on high-impact health-tech problems. Strong emphasis on cross-functional collaboration between domain experts and engineering. - **Talent profile**: Team includes alumni from Stanford AI Lab, IIT Bombay, NYU Courant, and prior experience at pharma tech companies. Departments span technical (32%), operations (16%), product (8%), and more. ## Sources 1. [cheiron.bio](https://www.cheiron.bio/) 2. [LinkedIn – Cheiron](https://www.linkedin.com/company/cheiron-bio) 3. [Cheiron Framer Career Site](https://cheiron.framer.ai/) 4. [BeeBee – Cheiron Jobs](https://bebee.com/us/companies/cheiron) 5. 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