Staff AI Engineer, Scientific Workflows & LLM Systems

vibehackers; New York, Northern (NY, KY); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive benefits

Equity donation matching

Parental leave

Flexible working hours

Lovely office space

Hybrid work (≥25% in-office)

Job summary

Anthropic is seeking a Staff Software Engineer for its Applied AI, Science & Engineering team to build agent harnesses, integrations, and evaluation systems that enable Claude to tackle scientific and engineering workflows—from literature review through simulation and analysis. The role emphasizes shipping robust, reusable systems in collaboration with domain experts and partner organizations.

You will prototype with scientists, integrate simulation and scientific computing tools, and

Qualifications

• 8+ years of software engineering experience across the stack.
• Experience building systems using large language models, agents, or evaluations.
• Experience in science or engineering domain (physics, materials, chemistry, electrical or mechanical) preferred.
• Track record of zero-to-one work in startup or startup-like environments.
• Ability to work directly with expert users, deeply understand workflows, and focus on building the right systems.
• Strong judgment about what can be verified and clear communication with technical and non-technical stakeholders.
• High agency, ability to learn new domains quickly, and comfort holding strong opinions loosely.

Responsibilities

• Build agent harnesses and research loops to take problems from literature review through hypothesis generation, simulation, analysis, and design iteration.
• Connect scientific computing and simulation tools (e.g., finite element, CFD, electromagnetic, molecular modeling codes) so Claude can drive them reliably and at scale.
• Design and implement evaluations that measure whether Claude’s outputs are correct and identify limitations.
• Work closely with scientists and engineers at partner organizations to turn open-ended problems into well-specified, verifiable tasks with clear success criteria.
• Prototype with partners, ship pilots into their workflows, and iterate on what actually moves the problem forward.
• Generalize successful approaches into shared tools, reusable components, and documented processes.
• Communicate technical performance, limits, and tradeoffs to researchers, engineering leads, and non-technical stakeholders.
• Partner with research and product teams to surface model shortcomings and influence future work.

Skills

LLM systems

Agent development

Evaluation design

Cross-functional collaboration

Scientific computing

Education

Bachelor's degree

Tools

Finite element

CFD

Molecular modeling

Numerical methods

Job description

Anthropic is seeking a Staff Software Engineer for its Applied AI, Science & Engineering team to build agent harnesses, integrations, and evaluation systems that enable Claude to tackle scientific and engineering workflows—from literature review through simulation and analysis. The role emphasizes shipping robust, reusable systems in collaboration with domain experts and partner organizations.

You will prototype with scientists, integrate simulation and scientific computing tools, and