Perplexity AI
Member of Technical Staff (Model Behavior)
San Francisco · Staff+
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About the role
- We're hiring software engineers for the Model Behavior team to help shape how Perplexity's AI products behave: the style of their responses, and the way they use tools, skills, and memory.
- The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems.
- You'll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products.
Responsibilities
- Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases.
- Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory.
- Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems.
- Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices.
- Experience shaping LLM behavior through prompts, tool and skill design, or memory systems.
- Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases.
Requirements
- 2 to 10+ years of experience in software engineering or research.
Nice to have
- Recent experience working on modern LLM-driven products.
- Experience designing evaluations or benchmarks for AI systems.
Skills
- the style of their responses, and the way they use tools, skills, and memory.
This listing is sourced directly from Perplexity AI's careers page and normalized into a canonical job model.