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. 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. 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.
Cheiron is expanding into pharmaceutical CMC (Chemistry, Manufacturing, and Controls) teams. CMC governs how a drug is made, tested, and kept consistent across its entire commercial life. Today it runs on documents, spreadsheets, and institutional memory.
The team includes leaders with combined decades of experience across pharma and biotech. Headquartered in Los Altos, California. We are building and deploying the product now with rapid expansion into general markets.
We're looking for a Backend Engineer, Applied Agents to help build Cheiron's agent layer and the backend systems that power it.
We're looking for a hands-on builder who can quickly structure ambiguous problems and turn them into highly polished products. 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 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 Active use of AI coding tools such as Claude Code and Cursor 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 401(K) retirement plan Health insurances (Medical/Dental/Vision) Transportation support for early starts and late nights In-office snack bar and additional commuting and work travel support Screening Take-home Assignment Technical Interview Cultural Interview
📌 Backend Engineer, Applied Agents (Los Altos) (León)
🏢 Cheiron
📍 León