Member of Technical Staff, Model Behavior

Perplexity

Member of Technical Staff shaping AI products’ responses and behaviors at Perplexity. Working on context engineering and model improvement through prompt design and analysis.

Posted 7/30/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $200,000 - $330,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing prompts, tools, and memory systems for LLM-driven products, with a strong foundation in software engineering and the ability to communicate complex concepts effectively to diverse stakeholders.

Highest-signal resume keywords

Software Engineering FundamentalsLLM Behavior ShapingPrompt DesignContext EngineeringCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringLLM-Driven SystemsPrompt EngineeringTool DesignMemory SystemsEvaluation DesignBenchmarking AI Systems

Soft Skills

Written CommunicationVerbal CommunicationCollaboration

Industry Keywords

AI SystemsResearch ProjectsModel OutputsContext Engineering TechniquesAlignment Techniques

About the role

Key responsibilities & impact

Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases.
Help experiment with and release new models.
Identify inconsistencies and failure modes in model outputs through well-designed research projects.
Help engineers across teams build intuition for prompt design and context engineering best practices.
Track the latest prompting, context engineering, and alignment techniques from industry and academia.

Requirements

What you’ll need

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 (nice to have).
Experience working across teams or with external partners (nice to have).
Experience designing evaluations or benchmarks for AI systems (nice to have).

Benefits

Comp & perks

Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.
Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.