Research Engineer, Agents
Software Development
WFA Digital Insight
As demand for reliable AI systems grows, Anthropic is at the forefront with its agentic systems. With a 34% increase in AI research investments in 2025, skilled engineers are in high demand. This role stands out for its focus on complex tasks and human-AI collaboration. Before applying, candidates should be prepared to showcase their experience with LLMs and agent design.
Job Description
About the Role
Anthropic is developing reliable, interpretable, and steerable AI systems. The company's agentic systems are being deployed in various spaces, including coding, research, and customer support. The Research Engineer will play a key role in making these systems more effective.Responsibilities
- Ideate, develop, and compare the performance of different agent harnesses
- Design and implement rigorous quantitative benchmarks for large-scale agentic tasks
- Assist with automated evaluation of Claude models and prompts
Requirements
- Experience with LLMs and agent design
- Ability to design and implement complex agent systems
- Strong understanding of AI and machine learning concepts
How to Stand Out
- Showcase your experience with LLMs and agent design through a personal project or contribution to an open-source repository.
- Highlight your understanding of AI and machine learning concepts, particularly in the context of agentic systems.
- Be prepared to discuss your approach to designing and implementing complex agent systems.
- Emphasize your ability to collaborate with cross-functional teams, including product and engineering.
- Consider including a short description of your process and any roadblocks you overcame in your project.
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