Job Specifications
Our aim is simple: empower people make every bureaucratic task 10x faster using AI. Companies don’t usually fail because of their people; they fail because their tools are clumsy, slow, and stitched together.
We’re building better tools.
And to do that, we’re looking for an experienced engineer who’s not just great at their own craft, but who can raise the bar for everyone around them.
We’re building Wonka Chat: an internal ChatGPT for enterprises that plugs into the real systems companies run on — ERPs, CRMs, databases, document systems, internal tools. It’s already getting into the hands of thousands of people. We’re just getting started.
Today, we’re a small, focused team. You’ll work closely with ~10 other developers.
Your job is not only to ship features. Your job is to help those 10 developers:
Write better code
Design better systems
Make better tradeoffs
Deliver better product, faster, with less drama
That means coaching, code reviews, pairing, and clear technical direction as much as it means writing code yourself.
We also expect you to design and build systems that won’t crumble when we grow. We want an environment where 50 developers can work in the same codebase without stepping on each other’s toes or turning everything into a ball of mud.
This includes:
Shaping and extending our AI agent engine
Coordinating multi-agent workflows that actually work in production, not just in demos
Building and maintaining solid backend systems that are easy to reason about
Improving RAG pipelines so context retrieval is fast, predictable, and understandable
Integrating deeply with clients’ ERPs, CRMs, databases, and internal apps
Designing APIs and contracts that can be trusted and reused, not reinvented every sprint
Making sure the platform is robust, secure, and deployable inside enterprise environments without magic
You’ll take features end-to-end: architecture, implementation, deployment, and maintenance.
No “throw it over the wall”. No anonymous tickets disappearing into a backlog graveyard.
You’ll have real influence on how we work, what we build, and how we keep the system clean as we grow.
We care more about how you think and how you work than buzzwords, but here’s what will help:
~5+ years of professional software engineering experience
Strong experience with React on the frontend
Solid experience with Node.js and/or Python on the backend
You’ve built and maintained RESTful APIs that other people actually enjoy using
Comfortable with databases (MongoDB and/or relational like PostgreSQL)
Strong understanding of software architecture, system design, and modern engineering practices
You know your way around data structures and algorithms, but you don’t worship them at the expense of simplicity
Confident using Git, branching workflows, and doing thoughtful code reviews
Familiarity with Microsoft Azure / Azure DevOps or another major cloud platform
Exposure to DevOps, CI/CD, and automation tooling — you don’t treat infra as “someone else’s job”
Curiosity or hands-on experience with Generative AI / LLMOps
Knowledge of AI governance and the realities of deploying AI in enterprises
Experience with MCP servers
Extra experience with cloud, infra, or AI tooling
Most importantly:
You care about craft: clean code, clear boundaries, explicit tradeoffs
You like teaching as much as doing
You’re comfortable saying “no” to complexity
You’re motivated by real usage in real organizations, not theoretical “scale someday” stories
This role is explicitly about multiplying the output and quality of the team:
You’ll set standards for code quality, architecture, and testing
You’ll run meaningful code reviews that teach, not gatekeep
You’ll help less experienced developers grow faster through pairing and feedback
You’ll push for tools, automation, and practices that keep things sane as we add more people
And you’ll design the system with 50 developers in mind:
Clear ownership boundaries
Simple deployment paths
Observability that doesn’t require a PhD
Guardrails that prevent accidental messes
We want a codebase that feels calm, even when a lot of people touch it.
We’re not trying to grow at all costs.
We’re scaling deliberately: ~100 teammates over 60 months (currently at 25 in 30 months).
What that looks like:
Your code and decisions directly shape the product and the company.
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 the 10 developers you’ll help get better.
We take the work seriously, not ourselves. Rest and clear thinking matter more than constant urgency.
We’re based in Belgium and focused on helping Belgian and European companies automate workflows and unlock the value of their internal knowledge.
We keep hiring simple and human:
A conversation to see if there’s mutual interest and alignment
A deeper technical/architecture discussion
A final
About the Company
In a nutshell, we're all about making artificial intelligence practical and accessible. Think of us as your AI collaborators, from brainstorming sessions to the last line of code, ensuring that the solutions we build together actually make your day-to-day work lighter and more creative.
Founded by a bunch of engineers and tech enthusiasts who were curious about pushing boundaries, we've grown into a team that's passionate about using AI to solve real problems. Our goal? To help businesses harness AI in a way that's both inn...
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