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About the Role

The Agent Capabilities team at Perplexity Computer is at the forefront of AI research and product innovation, building the foundational capabilities that enable users and agents to solve complex tasks. This role involves transforming frontier AI breakthroughs into reusable product capabilities, evaluating emerging models, and creating reliable, scalable, high-quality experiences. It offers broad ownership at the intersection of AI research, agent systems, platform engineering, and product innovation.

Responsibilities

Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn 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 scalable agent capabilities such as skills, plugins, artifact generation, tool integration and use, auto-research, and multi-agent collaboration.
Shape the architecture, abstractions, and product experiences that enable users and agents to compose sophisticated solutions for real-world tasks.
Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services.
Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction.
Iteratively improve across models, prompts, harnesses, and products for different problem spaces.
Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions.
Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable.
Collaborate closely with PM, Data Science, and Research to identify high-impact opportunities in understanding and validating emerging model capabilities.
Turn complex agent behaviors into simple, reliable product experiences.
Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance.
Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.

Requirements

Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products.
Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale.
Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement.
Able to define metrics and use production data and user feedback to guide decisions.
Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution.
Strong product judgment and execution: ability to translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact.
Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.

Skills

Python
Go
Rust
PostgreSQL
DynamoDB
AWS
TypeScript
LLM context engineering
Harness engineering
Subagents
Coding assistants
Long-running task execution
Autonomous task execution
Model families
Reasoning
Tool use
Context management
Long-horizon tasks
Agent permissions
Safeguards
Evaluation infrastructure
Production observability systems
Mid-training
Post-training
Reinforcement learning
Frontier models
Open-source models
AI/ML research
Publications
Open-source contributions

Experience Level

6+ years of professional software engineering experience

About the Company

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.
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.