Research Tools Engineer: Build AI Experiment Platforms

Anthropic; New York (NY); Hybrid; USD 300,000 - 405,000; Full time

Job summary

Anthropic seeks a Software Engineer on the Research Tools team to build infrastructure and applications enabling researchers to iterate quickly, run experiments, and extract insights from frontier AI systems.

This role blends product thinking with full-stack engineering, partnering with researchers to translate workflows into scalable solutions such as human feedback interfaces, experiment orchestration platforms, and visualization tools that accelerate mission-driven AI safety and capability

Qualifications

• 5+ years of software engineering experience with a strong focus on full-stack development.
• Experience building tools for technical users (engineers, researchers, data scientists, analysts).
• Proficiency with modern web technologies (React, TypeScript, Python).

Responsibilities

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results.
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions.
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient.
• Create reusable platforms and tools that accelerate the development of new research applications.
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage.
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration.
• Contribute to technical strategy and architectural decisions for research tooling.
• Mentor other engineers and help establish best practices for research application development

Skills

Full-stack development

React

TypeScript

Python

Research tooling

Technical communication

Education

Bachelor’s degree

Job description

Anthropic seeks a Software Engineer on the Research Tools team to build infrastructure and applications enabling researchers to iterate quickly, run experiments, and extract insights from frontier AI systems.

This role blends product thinking with full-stack engineering, partnering with researchers to translate workflows into scalable solutions such as human feedback interfaces, experiment orchestration platforms, and visualization tools that accelerate mission-driven AI safety and capability