Job Title

Research EngineerSan Francisco, CA$750k+ Total Comp.This is a rare opportunity to build production grade AI systems that directly accelerate scientific discovery. You will work at the frontier of applied AI, owning end to end agent development and seeing your work used daily by researchers across industry and academia. The environment is fast moving, highly technical, and designed for people who want real ownership and impact.The CompanyThey are a venture backed AI research and engineering organisation building autonomous AI agents to transform how science is done. Their platform automates complex research workflows across life sciences, combining literature synthesis, data analysis, hypothesis generation, and experimental design. Backed by significant funding, they are scaling quickly with the ambition to become the default AI platform for scientific research.The RoleAs a Research Engineer focused on Applied AI, you will be a core builder of production AI agents used by external research teams.Design, build, and maintain AI agents from prototype through to productionDevelop agent architectures, prompting strategies, tool integrations, and evaluation frameworksBuild reusable infrastructure such as agent skills, tool use pipelines, and benchmarksWork closely with internal science, engineering, and product teams to shape capabilitiesSpend time with external R and D partners to understand real workflows and validate solutionsTranslate field insights into clear technical and product prioritiesYour Skills and ExperienceStrong commercial experience shipping production software systems used by real usersHands on experience building and deploying LLM powered applications in practiceProven experience with agentic AI, including agent orchestration, RAG, and tool use pipelinesStrong engineering foundations in computer science or a related technical disciplineProficiency in Python and or TypeScript, with the ability to learn new tools quicklyComfortable working across research, engineering, and product in ambiguous environmentsA builder mindset with a track record of owning systems end to endNice to have:Exposure to life sciences, biomedical research, or scientific computing workflowsExperience designing evaluation or benchmarking frameworks for AI systemsContributions to open source AI or scientific toolingWhat They OfferFlexibility on compensation for exceptional candidatesComprehensive healthcare coverageStrong support for career progression as the team and platform scaleAn in office culture in San Francisco with close collaboration across disciplinesHow to ApplyIf you are excited by building applied AI systems at the edge of scientific research, apply to learn more about this opportunity.