Research Engineer, Agents at Anthropic

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the role:

Agentic systems are becoming an increasingly important part of how AI is deployed. Over the last year, we've seen rapid adoption of Claude-powered agentic systems in spaces like coding, research, customer support, network security, and more. We believe this is just the beginning, and we expect Claude to be handling much more complex tasks end-to-end or in cooperation with a human user as time goes on. We have a team striving to make Claude an even more effective agent over longer time horizon tasks, and coordinate with groups of other agents at many different scales to accomplish large tasks. This team endeavors to maximize agent performance by solving challenges at whatever level is needed, whether it's novel harness design, improved agent affordances and infrastructure, or finetuning.

Given that this is a nascent field, we ask that you share with us a project built on LLMs that showcases your skill at getting them to do complex tasks.

Responsibilities:

Ideate, develop, and compare the performance of different agent harnesses (eg memory, context compression, communication architectures for agents)

Design and implement rigorous quantitative benchmarks for large scale agentic tasks

Assist with automated evaluation of Claude models and prompts across the training and product lifecycle

Work with our product org to find solutions to our most vexing challenges applying agents to our products

Help create and optimize data mixes for model training that maximize Claude's performance or ease of use on agentic tasks

You may be a good fit if you:

Have experience developing complex agentic systems using LLMs

Have significant software engineering and ML experience

Have spent time prompting and/or building products with language models

Have good communication skills and an interest in working with other researchers on difficult tasks

Have a passion for making powerful technology safe and societally beneficial

Stay up-to-date and informed by taking an active interest in emerging research and industry trends

Enjoy pair programming

Strong candidates may also have experience with:

Large-scale RL on language models

Multi-agent systems

Representative projects:

Design and build a novel agent harness that outperforms existing agents on coding or knowledge work benchmarks

Design and build agent affordances that unlock new capabilities for internal use and deployed products

Design and build a novel eval that measures how many agents interact in groups to solve problems

Build a scaled model evaluation framework driven by model-based evaluation techniques

Build the prompting and model orchestration for a production application backed by a language model

Finetune Claude to maximize its performance using a particular set of agent tools or harness

Annual Salary: $500,000 - $850,000 USD

Location: Remote-Friendly (Travel-Required) / San Francisco, CA / Seattle, WA / New York City, NY

Hybrid policy: 25% minimum in-office Visa sponsorship available

Minimum education: Bachelor's degree or equivalent