Jobs · Engineering · New York

Applied AI Engineer

Cognition · Buffalo-Niagara Falls Area · 2 wk ago
On-siteEngineeringFull-time

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 adoption and having users unlock their potential with Devin - while also thinking systematically about how to scale those learnings to the next 100 teams.

Requirements

  • 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 (Python, JavaScript/TypeScript, or similar)
  • 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
  • Excellent verbal and written communication skills
  • Demonstrated ability to learn and adapt exceptionally fast

Qualifications

  • You've led developer enablement, platform adoption, or internal AI modernization initiatives — and you can point to the before/after metrics
  • You've deployed or integrated LLM or agent-based systems in production settings
  • You've 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

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