Primary record

AI Support Engineer

Cognition Indexed employerSan Francisco · New York City
Source-hosted applyChecked 1h agoFull-Time
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Workplace

On-site

Employment

Full-Time

Published

Apr 15, 2026

Closes

No date supplied

The role

WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE Cognition is building the AI software engineer of the future. As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments. This role goes well beyond basic support. You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will reproduce bugs, analyze logs, trace failures, form root-cause hypotheses, and drive issues to resolution quickly and rigorously. We are looking for someone with strong debugging instincts, broad systems knowledge, and the ability to operate with urgency across a high volume of technical issues. You should be comfortable context-switching across problem domains, communicating clearly with customers, and partnering closely with engineering when deeper product investigation is required. This is a unique opportunity to work at the frontier of AI-assisted software development, with real customers relying on the product every day. RESPONSIBILITIES - Investigate, reproduce, and diagnose complex customer issues across diverse development environments, including cloud infrastructure, CI/CD systems, APIs, containers, version control, IDEs, and enterprise deployment setups. - Perform root-cause analysis by reading logs, tracing

Requirements

Department: Customer Engineering; Team: Support Engineering