Applied AI Engineer

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 Applied AI Engineers are how Cognition operationalizes AI modernization at the enterprise level. You don't demo Devin - you deploy it. You embed with engineering teams, integrate agentic workflows into how they actually build and ship, and drive the kind of measurable productivity gains that make adoption irreversible. As one of our first Applied AI Engineers, you'll also shape the function itself - turning individual customer engagements into repeatable playbooks, digital learning content, and partner-driven enablement models that allow Cognition to reach hundreds of thousands of engineers worldwide. This role is perfect for someone who has strong engineering fundamentals, enjoys working directly with customers, and finds deep satisfaction in driving product adop [... source excerpt omitted ...] tifying where AI creates the highest leverage and building toward it Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions) Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.) Pair-program on live production problems to demonstrate high-value usage patterns and accelerate the team's applied AI fluency Quantify impact — tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin's footprint within accounts Work with leadership to scale field learnings into structured playbooks and best practices that scale bey [... source excerpt omitted ...] enablement, platform adoption, or internal AI modernization initiatives — and you can point to the before/after metrics Have deployed or integrated LLM or agent-based systems in production settings Have previously founded or joined early-stage startups where autonomy and execution speed were critical You're energized by seeing a team's velocity compound after working with them — and you engineer those outcomes deliberately Equal Opportunity Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic und