Software Engineer, Tokens and Prompt Structures

The shape of it

In the posting’s own words

As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world.

What it asks for · 7

• Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs
• Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments
• Have experience carrying out complex refactors in large codebases
• Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Care about the societal impacts of your work

Also a plus

• Tokenizers or other text/data encoding systems
• Maintaining a widely-used library over a long period of time
• Performance optimization
• Python and/or Rust
• Reinforcement learning or model training infrastructure

What the job covers

• Maintain and improve the encoding libraries used by engineers and researchers across Anthropic
• Run experiments to determine the optimal way to feed structured data into Claude without confusing it
• Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users”
• Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production
• Optimize encoding performance across the systems that depend on these libraries

Tools and skills named

Words the posting leans on

• data11×
• encoding11×
• libraries10×
• claude8×
• researchers8×
• engineers7×
• research6×
• abstractions5×
• experience5×
• experiments5×
• performance5×
• production5×
• systems5×
• encoded4×
• encoding libraries4×
• impact4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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