The mission
Software development is being rewritten in real time. AI coding tools like Claude Code, Cursor, Codex, Copilot, are not just a productivity hack. They are a fundamental shift in how software gets built.
Most organisations don't see it yet.
Some get it, but struggle to define and scale it.
Your job is to make sure Belgian companies are on the right side of that gap. You will be the person who takes AI-augmented development from "cool demo" to "this is how we build software now."
That means working inside our own team first: proving the patterns, building the playbooks, setting the standards and then carrying that knowledge into every developer team and IT organisation we touch.
We want every developer in Belgium to work this way. You're here to make that happen.
What you'll do
Set the standard internally
• Define and maintain our agentic coding development workflow: context management, code review practices for AI-generated code, and quality gates that keep output enterprise-grade
• Build internal tooling (e.g. Aikido, Scale,...), templates, and guardrails that let every developer on the team ship faster without sacrificing quality or security
• Run pairing sessions, workshops, and code reviews that teach people how to work with AI tools
• Own the evaluation of new AI coding tools as they emerge. Separate signal from noise. Recommend what we adopt, what we watch, and what we ignore
Train and evangelise externally
• Design and deliver training programmes for client developer teams: from "first time opening Cursor" to "production-grade AI-assisted architecture"
• Help enterprise IT leaders understand what AI-augmented development actually means for their roadmaps, hiring, and delivery timelines
• Create reusable content: workshops, playbooks, best-practice guides, reference architectures, and certification paths
• Represent Wonka at meetups, conferences, and community events as a credible, hands-on practitioner
Keep it enterprise-ready
• Establish best practices for AI-generated code in regulated and security-sensitive environments: IP considerations, code provenance, audit trails, and compliance
• Build review and validation workflows that ensure AI-assisted output meets the same bar as hand-written code... or, higher
• Work closely with our security and architecture teams to define policies around AI tool usage in client environments
• Document and share patterns for integrating AI coding tools with existing enterprise CI/CD pipelines, Git workflows, and DevOps practices
What we're looking for
Non-negotiable
• 6+ years of professional software engineering experience, ideally in enterprise or consulting settings where you've seen what "real production" looks like
• At least 1 year of daily, hands-on experience with AI coding tools
• Demonstrated fluency with at least two of: Claude Code, Cursor, and Codex. Ideally all three. You should have opinions about when each shines and where each breaks down
• Deep understanding of what makes AI-assisted code enterprise-ready: security, maintainability, testability, review processes, and governance
• A genuine drive to teach. You get energy from watching other people level up, not just from shipping your own code
• Strong communication in English. Dutch and/or French is a significant plus given our Belgian and European focus
Strongly preferred
• Experience designing and delivering technical training programmes, workshops, or developer enablement at scale
• Background in consulting, systems integration, or enterprise IT transformation
• Solid foundation in modern backend and frontend development (Node.js, Python, React, TypeScript — the usual suspects)
• Comfortable with cloud platforms (Azure preferred), CI/CD, and DevOps tooling
• Familiarity with LLMOps, prompt engineering best practices, and AI governance frameworks
• Experience with MCP servers and agentic AI workflows
Bonus points
• You've built or contributed to open-source tooling around AI-assisted development
• You have a public presence (blog, talks, community contributions) on the topic
• You've helped an organisation adopt AI coding tools across multiple teams — not just used them yourself
What this role is really about
This is a multiplier role. Your success is not measured by the code you write. It's measured by how many developers you help work in a fundamentally better way.
Concretely, that looks like:
• Setting standards for AI-augmented development that the whole team follows
• Running training that actually changes how people work — not just how they feel about a topic for an afternoon
• Building a repeatable methodology that we can bring into any client organisation
• Helping Belgian and European companies close the gap with global leaders by giving their developers better tools and better habits
• Pushing the industry forward — contributing to the community, publishing what we learn, being part of the conversation
You're not here to gatekeep AI tools. You're here to open the gate as wide as possible and help everyone walk through it.
About Wonka
We're building Wonka Chat: an internal AI assistant for enterprises that plugs into the real systems companies run on — ERPs, CRMs, databases, document systems, internal tools. It's already in the hands of thousands of users. We're just getting started.
We're based in Belgium and focused on helping Belgian and European companies automate workflows and unlock the value of their internal knowledge.
We're not trying to grow at all costs. We're scaling deliberately: ~100 teammates over 60 months (currently at 30 in 30 months). Your work and decisions will directly shape the product and the company.
What it's like here:
• Your code and your coaching directly shape the product and the people around you
• You'll work with smart, curious people who care about the work, not about looking busy
• If you see a better way, you can try it. Quickly. With real users
• We invest in people. That includes you, and every developer you help get better
• We take the work seriously, not ourselves. Rest and clear thinking matter more than constant urgency
How we hire
We keep it simple and human:
1. A conversation to see if there's mutual interest and alignment
2. A deeper technical discussion — show us how you think about AI-augmented development, your approach to training, and how you'd bring this to an enterprise team
3. A final round focused on collaboration, expectations, and how we work together
You'll get space to ask hard questions. We'll be honest about where we are, what's working, and what isn't.