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AI Product Engineer

AI developer tools company providing code autocomplete and in-editor chat assistants, featured on Forbes AI 50 list.
$140,000 - $300,000
Machine Learning
Mid-Level Software Engineer
In-Person
AI · Enterprise SaaS
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Description For AI Product Engineer

Windsurf, formerly Codeium, is a leading AI developer tools company featured on the Forbes AI 50 list. In just over a year, they've become a prominent player in the AI developer tools space, serving hundreds of thousands of users worldwide with code autocomplete and in-editor chat assistants. Their technology supports 70+ programming languages and 40+ editors through state-of-the-art proprietary language models and custom inference stack.

As an AI Product Engineer, you'll be at the forefront of building AI superpowers for developers. The role involves creating AI-powered experiences for millions of developers, including those at Fortune 500 companies. You'll work with complex AI systems, focusing on code generation and context retrieval, while ensuring efficiency and scalability.

The company values in-person collaboration, with the team working from their downtown Mountain View office five days a week. Engineers own projects end-to-end, from brainstorming to user research, without traditional handoffs. Recent projects include deploying autocomplete and chat products at scale, developing Windsurf Plugin Live for repository chat, and building a Kubernetes-native data processing framework.

This is an excellent opportunity for someone passionate about AI's impact on software development, with strong engineering skills and the ability to work independently. The company offers competitive compensation ($140K-$300K), equity, and commuter benefits, making it an attractive position for those looking to make a significant impact in the AI developer tools space.

Last updated 2 months ago

Responsibilities For AI Product Engineer

  • Propose and build AI-powered experiences for millions of developers
  • Interface with complex, AI-powered systems with emphasis on delivering efficient, scalable code
  • Demonstrate initiative and independently progress on projects
  • Design, track, and analyze new product experiment results
  • Document findings and synthesize data to improve consistently

Requirements For AI Product Engineer

Kubernetes
  • Strong software engineering skills
  • Team player and self-starter
  • Deep curiosity about the latest AI research and applications
  • Ability to work independently without product manager or designer guidance
  • Familiarity with AI-powered developer tools (Windsurf Plugin, Copilot, ChatGPT) is a plus

Benefits For AI Product Engineer

Equity
Commuter Benefits
  • Equity
  • Commuter Benefits

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