Full Stack Engineer (Los Altos)
1 month ago
Torrevieja
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 • 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 • 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 xcskxlj Nice to Have • 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 • 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 #J-18808-Ljbffr