Exa is revolutionizing the AI search landscape by building a comprehensive search engine from the ground up. The company operates a sophisticated infrastructure including a $5m H200 GPU cluster and manages operations involving thousands of machines. As part of the Agentic Search Team, you'll be at the forefront of developing complex search capabilities that can run from minutes to days.
The role focuses on building and maintaining massive-scale infrastructure for web crawling, training state-of-the-art embedding models, and developing high-performance vector databases in Rust. You'll be working on challenging projects like beating OpenAI's deep research capabilities and building sophisticated agentic orchestration pipelines.
The ideal candidate should have a strong background in high-performance programming languages and either existing LLM prompt engineering experience or the ability to learn quickly. This position offers the opportunity to work on meaningful problems in information retrieval and AI, with access to substantial computational resources and cutting-edge technology.
The position is based in San Francisco with full visa sponsorship available for international candidates. You'll be joining a team that's pushing the boundaries of what's possible in AI search technology, with the flexibility to work on projects that align with your skills and interests. This isn't your average startup - it's a chance to be part of building the future of AI-powered search infrastructure.