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AI Coding Transformation Lead

Remote (Europe)Part-time or Full-time

AI coding tools are changing how software gets built, but adopting them effectively takes more than giving engineers access to new tools.

At Bonsai Labs, we work directly with product and engineering teams to help them adopt AI-native development practices. We're looking for an experienced engineering leader who is deeply hands-on with AI coding tools and great at helping other engineers use them effectively.

You'll work directly with client teams — coaching engineers, getting into real codebases, and demonstrating how tools like Claude Code, Cursor, and Codex can improve the way software is built.

What you'll do

  • Train and coach product and engineering teams on adopting AI coding tools and AI-native development practices
  • Work directly in client codebases to demonstrate effective AI-assisted engineering workflows
  • Build Claude skills, harnesses, workflows, and reusable tooling
  • Help teams identify where AI can improve their software development lifecycle
  • Run hands-on workshops and work alongside engineers on real development challenges
  • Work with engineering leaders to drive adoption and turn successful experiments into repeatable practices

What we're looking for

  • Strong software engineering background, ideally with experience as an Engineering Manager, Tech Lead, Team Lead, Developer Advocate, or Developer Experience Engineer
  • Hands-on, regular use of Claude Code, Cursor, Codex, or similar AI coding tools over the last 6 months
  • Exceptional written and spoken English
  • Strong communication, coaching, and presentation skills
  • Comfortable jumping into unfamiliar codebases and working across different technology stacks
  • Client-facing mindset — you can build trust with both engineers and engineering leadership
  • Pragmatic and hands-on — you're as comfortable demonstrating how something works as you are explaining it
  • Based in Europe and available for a fully remote engagement. We offer flexible engagement options depending on your availability: part-time (minimum 25 hours per week) or full-time

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