AI Software Engineer, Perplexity AI
Agent Platform
$200-300k
Conversational AI-powered search tool
Be an early applicant
Conversational AI-powered search tool
1001+ employees
Be an early applicant
$200-300k
1001+ employees
Company mission
To advance the way people discover and share information.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
As AI continues to drive changes in both business operations and day-to-day lives, Perplexity AI delivers an intelligent search engine powered by conversational AI, to improve search outcomes and "unlock the power of knowledge" for all.
Reaching impressive heights of 22M monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. And what sets it apart from other search engines is in its answers, which are concise and fully cited, responding to the user query rather than simply providing a place in which they can scroll to find it themselves.
The company has raised substantial funding, with contributions from former execs at companies like OpenAI, Meta, and Quora, demonstrating the interest that it has drummed up in the space. Having doubled its annual recurring revenue between 2023 and 24, this investment will allow Perplexity AI to continue building out its product, and accelerate growth into the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Sep 2025
$200m
LATE VC
Jul 2025
$100m
LATE VC
Total funding: $1.7bn
Company HQ
Financial District, San Francisco, CA
Leadership
Aravind Srinivas
(Co-Founder, President & CEO)Former Research Scientist at OpenAI, who has interned in Research at Google and Deep Mind. Obtained a PhD in Computer Science from the University of California, Berkeley.
Denis Yarats
(Co-Founder & CTO)Prior to co-founding Perplexity in 2022, Denis was an AI Research Scientist at Facebook AI Research, a Staff ML Engineer at Quora, and a Software Development Engineer at Microsoft.
Johnny Ho
(Co-Founder & CSO)Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.
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