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Member of Technical Staff (Applied AI Engineer, Agent Capabilities)

Perplexity•San Francisco
Full-time3-7
$220k - $405k
per year
👁️ 0 views•📝 0 applications•Posted 9/10/2026•Expires 10/28/2026
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Job Description

Perplexity Computer is one of the defining products of the new era of agentic AI.

Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks.

As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities.

We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents.

This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack : Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript Why Perplexity is different Craftsmanship .

We build high quality, tasteful products targeting both the AI native and AI curious. Ownership . You identify the problem, design the solution and ship it. Entrepreneurship . We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship .

Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership . We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

What you'll do Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration.

Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. Apply state of the art ML and LLM techniques to design

Required Skills

PythonGoRustPostgreSQLDynamoDBAWSTypeScriptFrontier AI researchAgent systemsLLM techniquesML techniquesProduction deploymentError recovery systemsTask planningTool usageContext managementLong-running task executionModel evaluationRapid prototypingScholarship in AIProduct innovationPlatform engineeringHigh-quality software craftsmanship

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