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Job Description

Cognition AI is modernizing how enterprise teams build and ship software, and the Applied AI Engineer role sits at the center of that work. In this position, you operationalize AI modernization by driving adoption of Devin, embedding with engineering groups, and integrating agentic workflows that support measurable productivity improvements.

Beyond deployment, you help shape a repeatable way to deliver value: turning customer engagements into playbooks, best practices, and enablement materials that can scale across accounts.

What you’ll do

  • Embed with enterprise engineering teams to drive deep, lasting adoption of Devin, owning outcomes beyond onboarding
  • Architect and implement agentic workflows across engineering, QA, support, data, and product, identifying where AI provides the highest leverage and building toward it
  • Lead interactive programs for enterprise engineering teams, including live workshops and pair programming sessions
  • Guide customers through installing, configuring, and optimizing Devin and associated tools such as DeepWiki and MCP integrations
  • Pair-program on live production problems to demonstrate high-value usage patterns and accelerate applied AI fluency
  • Quantify impact by tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin within accounts
  • Partner with leadership to scale field learnings into structured playbooks and best practices that go beyond individual engagements
  • Create enablement materials, best practices, and shared playbooks grounded in customer learnings

What you bring

  • Degree in a STEM field or equivalent hands-on experience
  • 3+ years in software engineering, technical consulting, deployment strategy, forward deployed engineering, solutions engineering, or a similar role, with strong coding proficiency in Python, JavaScript/TypeScript, or similar languages
  • Proven ability to communicate complex technical topics to diverse audiences
  • Track record of driving technical adoption and measurable impact within engineering organizations
  • Strong commercial instincts and an account-oriented approach to engagement growth
  • Excellent verbal and written communication skills
  • Demonstrated ability to learn and adapt exceptionally fast

Tools you’ll work with

  • Devin
  • Python
  • JavaScript/TypeScript
  • DeepWiki
  • MCP

Compensation

Estimated Base Salary: USD 180,000 - 225,000 per year. Offers equity.

Location

Sydney, FL (remote)

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