ph3Company Overview /h3 pCheiron is a Stanford-founded AI company building an AI-native operating system for the pharma, biotech, and broader life sciences industry. /p pSince launching in 2024, we've rapidly grown our integral 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. /p h3About the Role /h3 pWe’re looking for a Backend Engineer, Applied Agents to help build Cheiron's agent layer and the backend systems that power it. /p pCheiron'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. /p pWe 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. /p h3What You’ll Do /h3 ul liDesign, 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 /li liDesign and build backend services and APIs on Python, FastAPI, and Postgres /li liDesign and operate vector DB, semantic search, and RAG systems, and tune search quality and latency /li liBuild large‑scale ingestion, cleaning, and indexing pipelines for life sciences data, including academic papers, clinical, regulatory, safety,



and patent sources /li liBuild systems that ground AI‑generated outputs in source data with traceable, verifiable citations so they can be trusted in real pharma and biotech work /li liWork directly with founders, domain experts, and early customers, owning outcomes rather than just closing tickets /li /ul h3Requirements /h3 ul li2+ years of experience shipping and operating production backend systems end to end /li liStrong backend engineering fundamentals: a deep understanding of API design, data modeling, databases, and system reliability /li liHands‑on production experience with AI‑driven systems such as LLMs, RAG, and vector DBs /li liPractical understanding of how agent systems actually work: you've built — or at least deeply traced — agent runtimes, harnesses, tool calling, sandboxing, and memory /li liThe drive to set your own priorities and ship quickly, even when specs are incomplete /li liA balance of fast shipping velocity and sound engineering judgment /li liActive use of AI coding tools such as Claude Code and Cursor /li /ul h3Nice to Have /h3 ul lib(Most Important) /b 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 /li liHands‑on experience designing and operating LangGraph, agent frameworks, or RAG systems in production /li liExperience building enterprise SaaS, or pharma, biotech, or healthcare products /li liFamiliarity with life sciences domain data such as academic literature, clinical trials, regulatory documents, and patents /li liExperience deploying and operating production systems on AWS, Terraform, and Kubernetes, with a focus on reliability and observability /li liExperience at a seed or early‑stage startup /li /ul h3Benefits Perks /h3 ul li401(K) retirement plan /li liHealth insurances (Medical/Dental/Vision) /li liMeal allowance (Lunch, Dinner) /li liTransportation support for early starts and late nights /li liIn‑office snack bar and additional commuting and work travel support /li /ul /p #J-18808-Ljbffr

📌 Backend Engineer, Applied Agents (Los Altos) (Burgos)
🏢 Cheiron
📍 Burgos