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AI Software Engineer - Agent Platform

AI Software Engineer - Agent Platform

Perplexity AISan Francisco, CA, United States
17 hours ago
Job type
  • Full-time
Job description

AI Software Engineer - Agent Platform

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every montha number that's growing rapidly for one simple reason : everyone can be curious.

Perplexity is seeking an experienced AI Agent Software Engineer to help revolutionize the way people search and interact online. In this role, you'll build scalable and elastic agent platform to power wide span of agent workloads from search to research to browser.

Responsibilities

  • Architect and implement next-gen agent platform that powers all agentic products at Perplexity with high efficiency, reliability and scalability.
  • Stay up-to-date on new features released from external LLM providers and in house researchers and provide unified interfaces to interact with different sizes of models.
  • Improving the speed and quality of AI agent codebase and engineering processes to ensure we consistently deliver an amazing product experience.
  • Hold a high quality bar to build generalized agentic & AI evaluation system to power all product online and offline evaluations.
  • Collaborating across disciplines, including researchers, engineers, product managers, and designers, to fill gaps and ship products.

Qualifications

  • Past experience building agent applications with tool calling, MCP and context engineering.
  • Understands how to make tradeoffs in using different models to achieve the goal with most cost efficient and reliable system design.
  • Self-motivated with a willingness to take ownership of platform components.
  • 4+ years of industry experience.
  • [Preferred] Past experience with open source LLM post training and evaluation experiences.
  • The cash compensation range for this role is $200,000 - $300,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity may be part of the total compensation package. Benefits include comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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