Applied AI Engineer - Apac

Cognition Cognition · Coding AI · Singapore · Sales

This role focuses on deploying and integrating Cognition's AI software agents (like Devin) into enterprise engineering teams. The engineer will architect agentic workflows, lead customer engagements, demonstrate high-value usage patterns, quantify impact, and scale learnings into playbooks. The role requires strong software engineering fundamentals, customer-facing experience, and a focus on driving adoption and measurable productivity gains.

What you'd actually do

  1. Embed with enterprise engineering teams to drive deep, lasting adoption of Devin — owning outcomes, not just onboarding
  2. Architect and implement agentic workflows across engineering, QA, support, data, and product — identifying where AI creates the highest leverage and building toward it
  3. Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)
  4. Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.)
  5. Pair-program on live production problems to demonstrate high-value usage patterns and accelerate the team's applied AI fluency

Skills

Required

  • Software engineering fundamentals
  • Python, JavaScript/TypeScript, or similar coding proficiency
  • Communication of complex technical topics
  • Driving technical adoption and measurable impact
  • Commercial instincts
  • Fast learning and adaptation

Nice to have

  • Experience leading developer enablement, platform adoption, or internal AI modernization initiatives
  • Experience deploying or integrating LLM or agent-based systems in production
  • Experience in early-stage startups
  • Experience engineering velocity compounding outcomes

What the JD emphasized

  • 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
  • demonstrated ability to learn and adapt exceptionally fast

Other signals

  • Deploying AI agents to enterprise customers
  • Integrating agentic workflows into existing engineering processes
  • Driving adoption and measuring productivity gains