AI Developer Experience Engineer

Jobtailor; Warszawa; On-site; PLN 120,000 - 170,000; Full time

Job summary

Jobtailor in Warsaw is seeking an AI enablement expert to help engineering teams adopt practical AI workflows and improve developer experiences. You will lead sessions and pair with engineers on real delivery tasks using Copilot and other AI tools.

You will build templates, guides, and run hands-on workshops, while measuring adoption and maturity across squads to inform leadership reporting.

Qualifications

• Strong software engineering background with production systems experience.
• Hands-on experience with AI-assisted development tools and workflows.
• Excellent communication and workshop facilitation for diverse audiences.

Responsibilities

• Deliver AI Fluency sessions across Engineering and SDLC roles.
• Collaborate with Engineering teams to drive practical AI adoption.
• Pair with developers on real delivery work using AI tools.
• Create and maintain enablement assets, guides, templates, and learning material.
• Track AI maturity and adoption metrics across teams.

Skills

AI Fluency

Software Engineering

SDLC

Developer Experience

Facilitation

Technical Content Creation

Communication Skills

Collaboration with Engineering

Education

Bachelor's degree in Computer Science or equivalent

Tools

GitHub Copilot

Copilot CLI

Cursor

Cody

Claude Code

N8N

Job description

• Deliver AI Fluency sessions across Engineering and SDLC roles, from prompt engineering fundamentals to advanced agentic coding workflows and practical AI-first ways of working
• Work with Engineering teams to build relationships, understand challenges, and support practical adoption of AI and improved workflows
• Pair directly with developers and teams on real delivery work using GitHub Copilot, Copilot CLI, internal AI agents, workflow automations, and related capabilities
• Maintain and improve internal enablement tooling, including AI agents, automations, templates, prompts, workflows, and supporting assets
• Create enablement content including guides, templates, examples, recorded sessions, best practices, and role-specific learning material
• Assess and track AI maturity across teams using Planet's AI Fluency model
• Support priority initiatives with dedicated AI-first coaching
• Collaborate with Architecture and Platform teams to align enablement with engineering standards and platform capabilities
• Capture adoption signals, usage insights, and learning feedback for the AI Centre of Excellence and leadership reporting
• Expand enablement beyond AI tooling into broader developer experience and platform adoption across the engineering toolchain

Requirements

• Strong software engineering background, with experience building or maintaining production systems and a solid understanding of the full SDLC
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Copilot CLI, Cursor, Cody, Claude Code, or similar
• Excellent communication and facilitation skills, with the ability to explain complex concepts clearly, run hands-on workshops, and adapt your style to different audiences across Engineering
• Strong interpersonal skills and a genuine human touch
• Credibility with engineers, including comfort pairing with developers, discussing implementation trade-offs, and improving engineering practices
• Experience creating technical content such as guides, tutorials, documentation, or internal learning material
• Genuine interest in developer experience, engineering productivity, and helping teams adopt better ways of working
• Nice to have: experience in developer experience, developer enablement, developer advocacy, or internal technical coaching
• Nice to have: understanding of enterprise engineering environments, including APIs, system design patterns, CI/CD, observability, infrastructure, and engineering governance
• Nice to have: strong understanding of prompt design, LLM capabilities, agentic workflows, and practical AI usage patterns in software engineering
• Nice to have: experience defining or tracking adoption metrics, maturity models, developer productivity indicators, or ROI-oriented enablement measures
• Nice to have: experience with workflow automation and internal tooling, including platforms such as N8N or similar
• Nice to have: familiarity with fintech, payments, or regulated engineering environments

Core Competencies

Demonstrates expertise in AI-assisted development tools and a strong software engineering background, with a focus on enhancing developer experience and productivity through effective enablement strategies. Proficient in creating technical content and facilitating workshops to support the adoption of AI and improved workflows across engineering teams.

Highest-signal resume keywords

• AI-Assisted Development Tools
• Software Engineering
• Technical Content Creation
• Communication Skills
• Developer Experience

Hard Skills

• Software Engineering
• AI Fluency
• SDLC
• Prompt Design
• Workflow Automation
• Adoption Metrics
• Technical Documentation
• Agentic Workflows
• CI/CD
• System Design Patterns

Soft Skills

• Excellent Communication
• Interpersonal Skills
• Facilitation Skills

Industry Keywords

• Developer Enablement
• Developer Advocacy
• Fintech
• Payments
• Regulated Engineering Environments

Tools & Technologies

• GitHub Copilot
• Copilot CLI
• Cursor
• Cody
• Claude Code
• N8N