AI Software Engineer - Agent Platform
Role Overview
As an AI Software Engineer at Perplexity, you will architect and implement a next-gen agent platform that supports various agent workloads, enhancing efficiency and reliability. This senior-level position involves collaboration with cross-functional teams, focusing on maintaining high-quality standards in AI agent applications and improving their performance. Your work will directly impact the user experience across Perplexity's products.
Perks & Benefits
This fully remote position offers a competitive salary range of $200,000 to $300,000, with equity as part of the compensation package. Comprehensive health, dental, and vision insurance is provided for you and your dependents, along with a 401(k) plan. The role encourages ownership of projects and promotes a collaborative culture, ideal for those looking to grow in a dynamic tech environment.
Full Job Description
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.
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