Software Engineer, Staff: Applied AI

Responsibilities

• Build agent harnesses and research loops for literature review, hypothesis generation, simulation, analysis, and design iteration.
• Integrate scientific-computing and simulation tools, including finite-element, CFD, electromagnetic, and molecular-modeling codes.
• Design evaluations to assess the correctness and limitations of Claude’s work.
• Work directly with scientists and engineers at partner organizations to define verifiable technical tasks and success criteria.
• Prototype with partners, ship pilots into workflows, and turn successful engagements into shared tools, reusable components, and documented processes.
• Communicate Claude’s performance, limitations, and tradeoffs to researchers, engineering leads, nontechnical stakeholders, and internal research and product teams.

Requirements

• 8+ years of experience building software with strong engineering fundamentals and comfort across data pipelines, tooling, and interfaces.
• Experience building real systems with large language models, including agents, tool use, or evaluations.
• Experience working on technical problems in a science or engineering field such as physics, materials, chemistry, electrical engineering, or mechanical engineering.
• Track record of zero-to-one work in startup or startup-like environments.
• Ability to work directly with expert users, understand their workflows, and focus on building the right system.
• Strong judgment about verification and willingness to identify when results are insufficient.
• Clear communication with researchers, engineers, and external partners, along with interest in societal impacts.
• Preferred qualifications include an advanced degree or research experience in physical science or engineering, scientific computing and simulation, numerical methods, optimization, industrial R&D, national-lab or deep-tech experience, customer- or partner-facing software development, ML research, RL environments, or evaluation design.
• Formal certifications or education credentials are not required, and candidates need not possess every listed skill or expertise in every scientific domain.

Benefits

• Annual compensation range is $405,000–$485,000 USD.
• Anthropic sponsors visas and states that, if it makes an offer, it will make every reasonable effort to obtain a visa, with immigration-lawyer support.
• Hybrid policy currently expects staff to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
• Benefits include competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
• Applications are reviewed on a rolling basis with no stated deadline.