---
title: 'Backend Engineer, Applied Agents (Los Altos) at Cheiron'
canonical: 'https://feeny.ai/job/backend-engineer-applied-agents-los-altos-cheiron-los-altos-k55e8hj6yzb9'
type: 'job'
last_seen: '2026-09-07'
---

# Backend Engineer, Applied Agents (Los Altos) at Cheiron

- **Company:** Cheiron
- **Location:** Los Altos, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-24
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/cheiron/c7a5aa8f-45c0-4b49-aa2e-40f1c903cf7c

## Job description

Cheiron just raised an $8 million seed round led by Menlo Ventures to build the operating system for drug programs.

■ Company Overview

In July 2026, Cheiron announced an $8 million seed round led by Menlo Ventures, bringing total funding to $13 million to date, with the backing and strategic support of industry veterans including Moderna co-founder and MIT Institute Professor 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 company's platform helps biopharma teams represent, reason over, and stress-test the full state of a drug development program — including the claims, evidence, assumptions, risks, decisions, and commitments that determine whether a therapy advances.

At the center of the platform is Cheiron's proprietary Life Sciences Knowledge Graph (LKG), connecting the world's biomedical, clinical, regulatory, patent, and commercial knowledge into a single model built for the inferences drug developers make every day. In less than six months since launch, Cheiron has been adopted by tens of thousands of biopharma professionals and deployed by major drug developers, and is already used by 7 of Korea's top 10 biopharma companies.

Founded in 2024 by Stanford-trained AI researchers and biopharma operators, Cheiron is headquartered in Los Altos, California.

■ About the Role

We're looking for a Backend Engineer, Applied Agents to help build Cheiron's agent layer and the backend systems that power it.

Cheiron's agents don't just generate answers. They carry out multi-step tasks inside real drug development workflows, call tools reliably, execute code in sandboxed environments, retain context across multi-step work, and deliver verifiable results to users. You'll design and ship the agent runtime, harness, memory, and tool execution layers that make all of this possible.

We build products that run in real customer environments — not research demos or prototypes. We're looking for a hands-on builder who can quickly structure ambiguous problems and turn them into highly polished products. You don't need to be an AI researcher or a life sciences domain expert, but we care deeply about strong engineering fundamentals and real experience designing, building, and operating LLM systems.

■ What You'll Do

- Design, build, and operate Cheiron's agent layer: agent runtime/harness, tool-calling infrastructure, sandboxed code execution, agent memory, and the reliability and observability of multi-step tasks
- Design and build backend services and APIs on Python, FastAPI, and Postgres
- Design and operate vector DB, semantic search, and RAG systems, and tune search quality and latency
- Build large-scale ingestion, cleaning, and indexing pipelines for life sciences data, including academic papers, clinical, regulatory, safety, and patent sources
- Build systems that ground AI-generated outputs in source data with traceable, verifiable citations so they can be trusted in real pharma and biotech work
- Work directly with founders, domain experts, and early customers, owning outcomes rather than just closing tickets

■ Requirements

- 2+ years of experience shipping and operating production backend systems end to end
- Strong backend engineering fundamentals: a deep understanding of API design, data modeling, databases, and system reliability
- Hands-on production experience with AI-driven systems such as LLMs, RAG, and vector DBs
- Practical understanding of how agent systems actually work: you've built — or at least deeply traced — agent runtimes, harnesses, tool calling, sandboxing, and memory
- The drive to set your own priorities and ship quickly, even when specs are incomplete
- A balance of fast shipping velocity and sound engineering judgment
- Active use of AI coding tools such as Claude Code and Cursor

■ Nice to Have

- (Most important) Experience building an in-house agentic harness: if you've designed and built internal tools or harnesses to boost your team's agentic development productivity, that's the strongest signal for us
- Hands-on experience designing and operating LangGraph, agent frameworks, or RAG systems in production
- Experience building enterprise SaaS, or pharma, biotech, or healthcare products
- Familiarity with life sciences domain data such as academic literature, clinical trials, regulatory documents, and patents
- Experience deploying and operating production systems on AWS, Terraform, and Kubernetes, with a focus on reliability and observability
- Experience at a seed or early-stage startup

■ Benefits & Perks

- 401(K) retirement plan
- Health insurances (Medical/Dental/Vision)
- Meal allowance (Lunch, Dinner)
- Transportation support for early starts and late nights
- In-office snack bar and additional commuting and work travel support

■ Interview Process

Screening ＞ Take-home Assignment ＞ Technical Interview ＞ Cultural Interview

## 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. [Jobright.ai – Product Manager Job Posting](https://jobright.ai/jobs/info/6a15e0b00073182bd92ad6db)

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