Prompt Engineer & Librarian

About Anthropic

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

• 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.
• Work with large enterprise customers on their prompting strategies.

You may be a good fit if you:

• Have 3-5 years of relevant or transferrable experience.
• Have at least a high level familiarity with the architecture and operation of large language models.
• Are an excellent communicator, and love teaching technical concepts and creating high quality documentation that helps out others.
• Are excited to talk to motivated customers and help solve their problems.
• Have a creative hacker spirit and love solving puzzles.
• Have a firm grasp of programming in Python and experience with data structures/algorithms.
• Have an organizational mindset and enjoy building teams from the ground up.
• You think holistically and can proactively identify the needs of an organization.
• 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.

Annual Salary

• The expected salary range for this position is $250k - $375k USD.