Prompt Engineer and Librarian

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

Anthropic’s AI technology is amongst the most capable and safe in the world. However, large language models are a new type of intelligence, and the art of instructing them in a way that delivers the best results is still in its infancy — it’s a hybrid between programming, instructing, and teaching. You will figure out the best methods of prompting our AI to accomplish a wide range of tasks, then document these methods to build up a library of tools and a set of tutorials that allows others to learn prompt engineering or simply find prompts that would be ideal for them.

Given that the field of prompt-engineering is arguably less than 2 years old, this position is a bit hard to hire for! If you have existing projects that demonstrate prompt engineering on LLMs or image generation models, we’d love to see them. If you haven’t done much in the way of prompt engineering yet, you can best demonstrate your prompt engineering skills by spending some time experimenting with Claude or GPT3 and showing that you’ve managed to get complex behaviors from a series of well crafted prompts.

Representative Projects

• Discover, test, and document best practices for a wide range of tasks relevant to our customers.
• Build up a library of high quality prompts or prompt chains to accomplish a variety of tasks, with an easy guide to help users search for the one that meets their needs.
• Build a set of tutorials and interactive tools that teach the art of prompt engineering to our customers.

You may be a good fit if you:

• Have a creative hacker spirit and love solving puzzles.
• Are an excellent communicator, and love teaching technical concepts and creating high quality documentation that helps out others.
• Have at least a high level familiarity with the architecture and operation of large language models.
• Have at least basic programming and QA skills and would be comfortable writing small Python programs.
• Have an organizational mindset and enjoy building teams from the ground up. You think holistically and can proactively identify the needs of an organization.
• You make ambiguous problems clear and identify core principles that can translate across scenarios.
• Have a passion for making powerful technology safe and societally beneficial. You anticipate unforeseen risks, model out scenarios, and provide actionable guidance to internal stakeholders.
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. You stay up-to-date and informed by taking an active interest in emerging research and industry trends.