Full Stack Software Engineer - Applied AI

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Perplexity is seeking full stack applied AI engineers to revolutionize the way people search and interact with information online by building next generation AI products and frontier models. In this role, you'll build scalable and innovative E2E solutions which powers Perplexity’s wide span of AI applications, including discovery, research agents, eval platforms, monetization and integration with different 3rd party and Sonar LLMs.

Our tech stack includes Python, Go, Rust, TypeScript, React, FastAPI, PostgreSQL, Redis, Docker, vLLM, and AWS.

Roles and teams at Perplexity are fluid. By applying to this position, you will be eligible to join teams across Perplexity Engineering. During the interview process, we look forward to learning more about your unique talents and figuring out where in our organization you’ll grow and thrive the most.

Responsibilities

  • Design and deliver scalable, end-to-end AI features that power core user experiences such as discovery, deep research, and monetization across Perplexity’s products.

  • Build and evolve full stack systems that integrate multiple third-party and in-house Sonar models, ensuring seamless orchestration, robustness, and observability in production.

  • Develop and maintain evaluation and experimentation platforms to measure answer quality, model performance, and product impact, supporting both online and offline workflows.

  • Collaborate closely with research, product, design, and infra teams to translate frontier model capabilities into shipped user-facing features and internal tools.

  • Continuously improve performance, reliability, and cost efficiency of AI-powered applications through thoughtful system design, instrumentation, and iteration.

Qualifications

  • Hands-on experience building production AI or agentic applications end to end, including tool calling, context engineering, and integration with modern LLM APIs.

  • Strong backend and systems design skills, with a track record of making practical tradeoffs between cost, latency, reliability, and quality in real-world systems.

  • Proficiency with modern web or product stacks (e.g., Python plus a frontend framework) and comfort working across the stack from data and infra to UI.

  • Self-directed and high agency, with 4+ years of industry experience in software or AI engineering and a bias toward shipping impactful product work.

How we work with AI

AI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we will be excited to see how you think and understand how you make decisions—qualities that would directly influence our AI development—there may be an opportunity for you to showcase your AI skills; however, we ask that you kindly avoid using AI tools throughout the process unless we explicitly indicate otherwise.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

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6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

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