AI Catalyst Lead - Enable AI-Driven Engineering

LTM

Kraków

Hybrid

PLN 120,000 - 180,000

Full time

14 days+

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Job summary

LTM in Krakow, Poland, is seeking an AI Catalyst Lead for a 6-month hybrid contract. You will drive adoption of AI tooling, embed with engineering teams, and design enablement projects, workshops, and guides tailored to different engineering personas.

You will act as a hands-on partner, write real code alongside customer teams to demonstrate AI-assisted development, diagnose blockers, translate learnings into scalable playbooks, and collaborate with the platform team to prioritise improvements

Qualifications

  • 6-10 years in software engineering or platform engineering.
  • Experience with AI coding assistants in production contexts.
  • Proven track record working across teams or as a technical lead.
  • Experience designing enablement programmes or training for engineers.
  • Fluency with modern development workflows and CI/CD.

Responsibilities

  • Drive adoption of AI tooling and embed with engineering teams.
  • Design and deliver enablement projects, workshops, and self-serve guides for different engineering personas.
  • Guide teams from initial setup to confident daily use and align adoption with metrics.
  • Write real code with customer teams to demonstrate AI-assisted development patterns.
  • Diagnose blockers to adoption and translate learnings into repeatable playbooks.
  • Collaborate with product managers and engineers to prioritise platform improvements.

Skills

6-10 years software engineering exp
AI coding assistants
Cross-team collaboration
Enablement/program design
CI/CD practices

Tools

Claude Code
GitHub Copilot
Cursor

Job description

LTM in Krakow, Poland, is seeking an AI Catalyst Lead for a 6-month hybrid contract. You will drive adoption of AI tooling, embed with engineering teams, and design enablement projects, workshops, and guides tailored to different engineering personas.

You will act as a hands-on partner, write real code alongside customer teams to demonstrate AI-assisted development, diagnose blockers, translate learnings into scalable playbooks, and collaborate with the platform team to prioritise improvements

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