Software Engineer (AI)

TL;DR

Software Engineer (AI): Building core agent infrastructure for Devin and Windsurf, including tool use, context management, multi-step planning, subagent orchestration, and sandboxed code execution with an accent on reliability, performance at scale, and integration with AI models. Focus on designing distributed systems that handle millions of agentic tasks, improving AI-native IDE features, and translating research into production-ready capabilities.

On-site in San Francisco Bay Area

Base Salary: $260,000 - $300,000 + Significant early-stage equity

Company

Applied AI lab building end-to-end software agents like Devin, the first AI software engineer, and Windsurf, an AI-native IDE.

What you will do

• Build core agent infrastructure powering Devin's long-horizon task execution: tool use, context management, multi-step planning, subagent orchestration, and sandboxed code execution environments.
• Improve Windsurf as an AI-native IDE: editor intelligence, agent-in-the-loop workflows, real-time code understanding, and developer experience.
• Close the loop between models and products by translating new model capabilities into shipped features and providing feedback to researchers.
• Own reliability and performance at scale for systems handling millions of agentic tasks with low latency and high correctness.
• Move the category forward by contributing input on what gets built next.

Requirements

• Systems engineering depth: experience building reliable, performant distributed systems with strong opinions on correctness, failure modes, and production behavior.
• Product instinct: care about user experience and have shipped software that real people depend on.
• Comfort with ambiguity: make progress on hard problems with incomplete specs, learn fast, and course-correct independently.
• Velocity without shortcuts: track record of shipping quickly while maintaining high code quality.
• Curiosity about agents and AI: understanding of how LLMs work, agent failures, and reliable AI systems.
• Strong Python proficiency: primary language, comfortable owning large production codebases.
• Relevant industry experience: prior work at frontier AI lab, applied AI company, or developer tools company.
• Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or related field from highly selective program.

Culture & Benefits

• Medical, Dental, Vision: fully paid for you and dependents.
• 401(k): company match included.
• Perks: private chef, cozy slippers, endless snacks, and more.
• Small, talent-dense team of competitive programmers, former founders, and researchers from top AI companies.