AI Enablement Engineer
AI Enablement Engineers guide enterprise teams in adopting Devin AI software engineer, leading workshops, pair programming on real projects, and scaling enablement programs globally. Requires 3+ years software engineering experience in Python/JS, strong communication, and customer-facing skills.
About the job
Responsibilities
- 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 with engineers at varying experience levels, helping them build, debug, and automate real projects
- Identify high-ROI workflows for Devin across engineering, QA, support, data, and product teams
- Create enablement materials, best practices, and shared playbooks based on customer learnings
- Work with leadership to scale AI Enablement into a repeatable and productized offering—through digital learning content, partner certifications, and scalable training models
- Collaborate with Cognition Engagement Managers and Engineering teams to continuously refine onboarding and provide feedback on new features
Requirements
- Degree in a STEM field or equivalent hands-on experience
- 3+ years as a software engineer or technical consultant with strong coding proficiency (Python, JavaScript/TypeScript, or similar)
- Proven ability to communicate complex technical topics to diverse audiences
- Strong customer-service orientation and ability to thrive in interactive, people-facing environments
- Excellent verbal and written communication skills
- Demonstrated ability to learn and adapt exceptionally fast
Nice-to-Haves
- Experience leading technical workshops, internal enablement programs, or developer onboarding initiatives
- Have deployed or integrated LLM or agent-based systems in production settings
- Energized by teaching, coaching, and helping others reach “aha” moments
- Previously founded or joined early-stage startups where autonomy and execution speed were critical
Skills
Python, JavaScript, TypeScript, LLMs, AI Agents, Devin, Deepwiki, Mcp Integrations, Pair Programming, Workshops
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