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anthropic

Software Engineer, Tokens and Prompt Structures

Anthropic is seeking a skilled Software Engineer to play a crucial role in defining the architecture of our next-generation AI models. This position focuses heavily on the intricate relationship between tokens, prompt structures, and model behavior. Key responsibilities include developing robust tooling for token management, optimizing prompt templates for diverse use cases, and contributing directly to the core LLM inference pipeline. You will work closely with research scientists to translate theoretical model capabilities into scalable, production-ready software. Ideal candidates possess deep experience in building high-throughput ML systems, are proficient in languages like Python/C++, and have a strong understanding of transformer architectures and prompt design best practices. This role is critical for ensuring the reliability and efficiency of Anthropic's frontier models across various deployment environments.

anthropic San Francisco, CA, New York City, NY, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

bereiten sich vor

2800

Fragensatz

150

Dauer

Permanent

Schwerpunkte

LLMsPrompt EngineeringPythonSystem Design

People Also Ask (FAQs)

What is the last date to apply for Software Engineer, Tokens and Prompt Structures?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Software Engineer, Tokens and Prompt Structures?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the anthropic test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Software Engineer, Tokens and Prompt Structures test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: LLMs, Prompt Engineering, Python, System Design.

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