Applied AI Engineer

Job summary

Responsibilities

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…

• Embed with enterprise engineering teams to drive deep, lasting adoption of Devin — owning outcomes, not just onboarding
• Architect and implement agentic workflows across engineering, QA, support, data, and product — identifying 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

What they're looking for

• Degree in a STEM field or equivalent hands-on experience
• 3+ years as a software engineer, technical consultant, deployment strategist, forward deployed engineer, solutions engineer or similar roles with strong coding proficiency…
• Proven ability to communicate complex technical topics to diverse audiences
• Proven track record of driving technical adoption and measurable impact inside engineering organizations
• Strong commercial instincts; you understand that successful engagements grow accounts, and you operate accordingly

Tech stack

• Python
• TypeScript