Member of Technical Staff (Software Engineer, Agent Capabilities)

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns.

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 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 Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, define how they should appear in the product, and transform them into reliable, production grade 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 | PostgreSQL | DynamoDB | AWS | TypeScript | React

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

• Investigate emerging frontier-model behaviors and identify opportunities to turn them into product capabilities. Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product.

• Build and evolve Skills, Workflows, and Artifacts into a coherent ecosystem. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks.

• Own capabilities end-to-end, from user-facing products and interfac