Perplexity
Full TimeSoftware engineers with 2 to 10+ years of experience will design and optimize prompts, tools, and memory systems that shape how Perplexity's AI products respond and behave across features and use cases. The role involves context engineering, experimenting with new models, identifying failure modes through research, and sharing prompt design best practices across teams. You'll need strong software engineering fundamentals, technical understanding of LLM-driven systems, and experience shaping model behavior through prompts or tool design.
Written from this posting by Neural Jobs AI. The full description is below.
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 team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models.
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.
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.
Model Releases: Help experiment with and release new models.
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.
Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team.
2 to 10+ years of experience in software engineering or research.
Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems.
Experience shaping LLM behavior through prompts, tool and skill design, or memory systems.
Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
Recent experience working on modern LLM-driven products.
Experience working across teams or with external partners.
Experience designing evaluations or benchmarks for AI systems.
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Perplexity is an AI-powered answer engine that combines large language models with real-time web retrieval to give direct, cited answers to questions.
Founded in 2022, it positions itself as a conversational alternative to traditional search.
200K - 330K Yearly
United States Hybrid
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