AI Developer Experience Engineer

Planet Paymet; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Planet is scaling AI-first engineering and seeks Senior AI Developer Experience Engineers to drive adoption across Engineering. You will deliver AI fluency sessions, pair with developers, and help embed practical AI workflows across teams.

You will collaborate with Architecture and Platform teams, create practical guides, and measure adoption with Planet’s maturity model. This role offers a hybrid work model and opportunities to influence engineering productivity globally.

Qualifications

• Strong software engineering background with production systems experience.
• Hands-on with AI-assisted development tools (Copilot, Cursor, Claude Code).
• Excellent communication and facilitation skills.
• Strong interpersonal skills and ability to coach teams.
• Credibility with engineers; comfortable pairing with developers.
• Experience creating technical content (guides, tutorials, docs).
• Interest in developer experience and engineering productivity.
• Nice to have: experience in developer enablement coaching.

Responsibilities

• Deliver AI fluency sessions across Engineering and SDLC roles.
• Build relationships; help teams adopt AI workflows.
• Pair with developers to improve adoption using AI tools.
• Maintain internal enablement tooling and templates.
• Create enablement content and learning material.
• Measure AI maturity and adoption signals.
• Coach delivery teams on using internal tools in live projects.
• Collaborate with Architecture and Platform teams.
• Capture feedback for AI Centre of Excellence.
• Expand enablement to broader dev experience.

Skills

Software engineering

AI tooling

Communication skills

Facilitation

Content creation

Developer experience

Team collaboration

Tools

GitHub Copilot

Copilot CLI

Cursor

Cody

Claude Code

Job description

About Us

Planet is a leading technology company transforming payments by putting customer experience first. We offer integrated solutions that include payment processing, VAT refunds, dynamic currency conversion, and management services for merchants in the Retail and Hospitality sectors worldwide. In recent years, we have experienced significant growth, expanding our services and global presence. With strong private equity investors, Advent International and Eurazeo, we have the financial capital and expertise to grow our capabilities and reach through acquisitions. Our mission is to create a world of connected commerce where payments are simple, secure, and seamless, enabling our partners to deliver exceptional experiences to their customers.

Role overview

Planet is scaling AI‑first engineering across its technology organisation, and the AI Enablement team is helping turn that ambition into day‑to‑day reality. We are looking for Senior AI Developer Experience Engineers to join the team and help drive adoption across Engineering. This is a hands‑on role focused on AI Fluency, developer experience, internal enablement tooling, and measurable improvement across the software delivery lifecycle. You will work closely with teams across Engineering, partnering directly with developers, QAs, product owners, scrum masters, business analysts, and managers to help them adopt better ways of working with AI. This is not a role from the sidelines. You will spend time with teams, understand where they struggle, coach them in practical contexts, and help embed better habits into real delivery work. We are looking for people with strong engineering foundations who also bring a strong human touch.

You should be someone who communicates clearly, builds trust easily, works well with different personalities, and knows how to bring people with you. Success in this role depends as much on credibility with engineers as it does on your ability to explain, facilitate, coach, and create momentum across the organisation. You will help enable more than 300 engineers, alongside a broader set of SDLC roles, through structured AI Fluency sessions, hands‑on pairing, internal agents and workflows, reusable guidance, and support for priority initiatives. Over time, the role will also help drive adoption of broader platform and toolchain capabilities that improve engineering effectiveness across Planet.

What You’ll Do

• Deliver AI Fluency sessions across Engineering and SDLC roles, from prompt engineering fundamentals to more advanced agentic coding workflows and practical AI‑first ways of working.
• Work closely with teams across Engineering, building strong relationships, understanding where they struggle, and helping them adopt AI and better workflows in a practical, team‑friendly way.
• Pair directly with developers and teams to improve adoption in real delivery work, helping them use tools such as GitHub Copilot, Copilot CLI, internal AI agents, workflow automations, and related capabilities effectively and responsibly.
• Help maintain and improve internal enablement tooling, including AI agents, automations, templates, prompts, workflows, and supporting assets used across the organisation.
• Create high‑quality enablement content, including guides, templates, examples, recorded sessions, best practices, and role‑specific learning material that teams can actually use.
• Assess and track AI maturity across teams using Planet’s AI Fluency model, helping identify where support is needed and where stronger patterns can be scaled.
• Support priority initiatives with dedicated AI‑first coaching, helping delivery teams apply better workflows, better prompting, and more effective use of internal tools in live projects.
• Collaborate closely with Architecture and Platform teams so enablement stays aligned with engineering standards, platform capabilities, system landscape, and the way Planet builds software.
• Capture adoption signals, usage insights, and learning feedback, and feed these into the AI Centre of Excellence and broader leadership reporting.
• Over time, help expand enablement beyond AI tooling into broader developer experience and platform adoption across the engineering toolchain.

Who you are

• 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. You build trust, work well with different personalities, and enjoy helping teams improve in a practical and collaborative way.
• Credibility with engineers. You are comfortable pairing with developers, discussing implementation trade‑offs, and helping teams improve how they work in practice.
• Experience creating strong technical content such as guides, tutorials, documentation, or internal learning material.
• A 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.
• Understanding of enterprise engineering environments, including APIs, system design patterns, CI/CD, observability, infrastructure, and engineering governance.
• Strong understanding of prompt design, LLM capabilities, agentic workflows, and practical AI usage patterns in software engineering.
• Experience defining or tracking adoption metrics, maturity models, developer productivity indicators, or ROI‑oriented enablement measures.
• Experience with workflow automation and internal tooling, including platforms such as N8N or similar.
• Familiarity with fintech, payments, or regulated engineering environments.

Tech Environment

• AI and enablement tools: GitHub Copilot, Claude Code, Copilot CLI, internal AI agents, workflow automations.
• Engineering ecosystem: GitHub, Azure DevOps, Jira, Confluence, Terraform.
• Languages and stacks: Java, .NET, TypeScript, Python, and others across Planet teams.

Why Planet

Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.

We would love to hear from you.

At Planet, we embrace a hybrid work model, with three days a week in the office. Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.

Company Background: Planet provides integrated software, payment and technology solutions for its customers in the Hospitality and Retail sectors and worldwide via a network of global Financial Services Partners. Founded over 35 years ago, we have evolved our services, delivering an innovative digital commerce platform that puts customer experience first. With headquarters in London and around 3,000 expert employees located across six continents we serve customers in over 120 markets.