Job Details

Research Engineer

San 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 Company

They 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 Role

As 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 production
• Develop agent architectures, prompting strategies, tool integrations, and evaluation frameworks
• Build reusable infrastructure such as agent skills, tool use pipelines, and benchmarks
• Work closely with internal science, engineering, and product teams to shape capabilities
• Spend time with external R and D partners to understand real workflows and validate solutions
• Translate field insights into clear technical and product priorities

Your Skills and Experience

• Strong commercial experience shipping production software systems used by real users
• Hands on experience building and deploying LLM powered applications in practice
• Proven experience with agentic AI, including agent orchestration, RAG, and tool use pipelines
• Strong engineering foundations in computer science or a related technical discipline
• Proficiency in Python and or TypeScript, with the ability to learn new tools quickly
• Comfortable working across research, engineering, and product in ambiguous environments
• A builder mindset with a track record of owning systems end to end

Nice to have:

• Exposure to life sciences, biomedical research, or scientific computing workflows
• Experience designing evaluation or benchmarking frameworks for AI systems
• Contributions to open source AI or scientific tooling

What They Offer

• Flexibility on compensation for exceptional candidates
• Comprehensive healthcare coverage
• Strong support for career progression as the team and platform scale
• An in office culture in San Francisco with close collaboration across disciplines

How to Apply

If you are excited by building applied AI systems at the edge of scientific research, apply to learn more about this opportunity.