Staff Software Engineer Applied AI Science and Engineering

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build and harden agent systems, scientific computing integrations, and evaluations for science and engineering work. You will work directly with domain experts to turn open-ended problems into verifiable tasks, ship partner pilots, and convert successful solutions into reusable tools and processes.

Requirements

  • 8+ years of software engineering experience
  • Experience building systems with large language models, agents, tool use, or evaluations
  • Experience with technical problems in science or engineering
  • Engineering experience across data pipelines, tooling, and interfaces
  • Experience working directly with expert users
  • Communication skills for researchers, engineers, and external partners

Responsibilities

  • Build agent harnesses and research loops for literature review, hypothesis generation, simulation, analysis, and design iteration
  • Connect scientific computing and simulation tools for reliable, scalable use
  • Design evaluations that measure whether model work is correct
  • Work with scientists and engineers to define verifiable tasks and success criteria
  • Prototype with partners and ship pilots into their workflows
  • Turn successful engagements into reusable tools, components, and documented processes
  • Explain performance, limitations, and tradeoffs to technical and non-technical stakeholders
  • Share model limitations and learnings with research and product teams

Benefits

  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours