Full Stack Engineer (Los Altos)

Company Overview

Obtenga más información sobre las tareas generales relacionadas con esta oportunidad a continuación, así como sobre las habilidades requeridas.

Cheiron is a Stanford-founded AI company building an AI-native operating system for the pharma, biotech, and broader life sciences industry.

Since launching in 2024, we’ve rapidly grown our global user base. In Korea, we reached 22% of industry users within six months and are now used across 200+ pharma and biotech companies as we continue to scale quickly.

About the Role

We’re looking for a Full Stack Engineer, Applied AI to help build Cheiron’s core product and infrastructure.

This role spans the full stack – backend systems, AI workflows, RAG and search pipelines, APIs, and the customer-facing product itself. You won’t own just one slice; you’ll work deeply across the product and systems and solve whatever problems need solving.

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

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• Design and build backend services on Python, FastAPI, and Postgres
  
• Build applied AI workflows using the OpenAI API, LangGraph, vector DBs, and search systems
  
• Develop ingestion, indexing, and search pipelines for life sciences data, including academic papers, clinical, regulatory, safety, and patent sources
  
• Build customer-facing features end to end, from the data model to the API to the React/TypeScript frontend
  
• 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

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• 2+ years of experience shipping production software end to end
  
• Strong backend engineering fundamentals and experience designing APIs, databases, and services
  
• Hands‑on production experience with AI‑driven systems such as LLMs, agents, RAG, and vector DBs
  
• Full-stack range, comfortable working through the frontend with React and TypeScript
  
• The drive to set your own priorities and ship quickly, even when specs are incomplete
  
• Active use of AI coding tools such as Claude Code and Cursor
  
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Nice to Have

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• Hands‑on experience designing and operating LangGraph, agent frameworks, or RAG systems in production
  
• Experience with vector DBs, semantic search, and knowledge graphs
  
• 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 at a seed or early-stage startup
  

Benefits & Perks

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• 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