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Open nowFirst seen 8 days ago

🧑‍💻 Forward Deployed Engineer (FR / NL)

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This job: first seen 8 days ago

The posting

Forward Deployed Engineer

Wonka · Brussels (Diegem), hybrid · 3–5 years experience

About Us

Wonka helps companies adopt AI for their business. With Wonka, teams can easily integrate AI and solve their day-to-day problems. We have worked with more than 200 companies and are currently serving thousands of users every day on our AI adoption platform. We are a team of 30+ passionate people, driven by the mission to help non-technical people surf the AI wave.

About the Role

At Wonka, each project is delivered by a duo: a Project Manager and a Forward Deployed Engineer. The Project Manager is an expert in AI implementation. They run the project, align stakeholders, manage the timeline and drive user adoption. As the Forward Deployed Engineer, you are the technical half of the duo. You turn the customer’s problems into working AI solutions on top of the Wonka platform: you connect their systems, build custom agents, applications and integrations, and ship production-ready work that people use every day.

You will usually work with two customers at the same time, each with its own Project Manager. You will write code or set up the agents, but your real job is to solve problems. Sometimes the best solution is a clever integration, sometimes it is a simpler workflow, and sometimes it is telling the customer that AI is not the answer. You are comfortable in a meeting room with business stakeholders and in a codebase with their IT team. You also bring what you learn in the field back to our product team so the platform gets better for every customer.

What You Will Do

  • Own technical delivery for 1 or 2 projects in parallel. Within each duo, you are accountable for the solution: architecture, build, testing and go-live.
  • Shape the solution with your Project Manager. Together, you evaluate use cases and decide what’s worth building. Your PM brings the business case and the stakeholder view. You bring technical feasibility, effort estimates and the right approach.
  • Build what the platform doesn’t do yet. Develop custom agents, API integrations, data pipelines and connectors to customer systems such as ERPs, CRMs and internal tools.
  • Be the technical counterpart on site. Run technical workshops, pair with the customer’s IT and data teams, and make sure the solution fits their security, data and infrastructure constraints.
  • Ship reliable work. Write clean, maintainable code, test against real customer data, and monitor solutions after go-live.
  • Keep your PM in the loop. Share technical progress, risks and blockers early so your Project Manager can keep stakeholders aligned and plan the rollout and training.
  • Feed the Wonka product. Spot patterns across deployments, turn one-off builds into reusable components, and share structured feedback with the product and engineering teams at Wonka.
  • Support sales on technical questions. Join sales calls for technically complex opportunities to answer questions about security, integrations and feasibility.
  • Share what you learn. At the end of each deployment, document the architecture, the decisions you made and what you learned, so the next duo starts further ahead.

What a Typical Work Week Looks Like

  • Monday: You and your Project Manager spend the day on site at a wholesale goods distributor. While your PM runs the use-case prioritization session with the business teams, you map the order-processing flow with operations. Then you work with their IT lead to get API access to the ERP.
  • Tuesday: You build and test a retrieval pipeline for a law firm that specializes in labor law. The agent drafts answers to employment law questions from thousands of internal documents. You tune the chunking and evaluation set until the answers hold up against the lawyers’ review.
  • Wednesday: In the morning, you join a sales call to answer a prospect’s technical questions about security, data residency and integration options. In the afternoon, you meet the product team to propose turning a connector you built last month into a standard platform feature.
  • Thursday: You and your PM go back to the distributor to launch the order-automation agent with a pilot group. While your PM trains the users, you watch how they use it, collect feedback and fix two edge cases on the spot.
  • Friday: You document the law firm’s architecture and evaluation results, then sync with both of your PMs to plan next week’s iterations. You end the day by sharing your weekly wins with the whole Wonka team.

What You Will Bring

Core Competencies

  • 3–5 years of experience as a software engineer, ideally including time in a customer-facing role such as solutions engineering, technical consulting, professional services or a startup where you worked directly with users.
  • Strong programming skills in Python and/or TypeScript, and hands-on experience with APIs, integrations and working with real-world data.
  • Experience building with LLMs: prompting, retrieval (RAG), agents, tool use and evaluation. You know where these systems work well and where they fail.
  • A solutions-driven mindset. You start from the customer’s problem, not the technology, and you find the simplest approach that works.
  • Comfort with customers. You can run a technical workshop, push back constructively and explain technical trade-offs in plain language to non-technical people.
  • You’re a strong team player who enjoys working closely with a non-technical partner and sees project management as a strength the duo shares, not overhead.
  • The ability to juggle two customer engagements at once without letting either one slip.
  • French or Dutch as your primary language, plus professional proficiency in English. All internal communication at Wonka is in English.
  • Comfort working at a startup where things move fast and autonomy is key. You don’t wait for someone else to give you answers.

Nice to Have

  • Experience integrating with enterprise systems such as Odoo or Microsoft 365.
  • Familiarity with cloud platforms (Azure and AWS mainly) and with enterprise security and data-privacy requirements, including GDPR.
  • Dutch or French as a second language.
  • Agents or AI products you have shipped to real users, whether at work or on the side.

A note on fit: If you meet most of the requirements and are excited about the rest, apply. Research consistently shows that people, especially women, pass on roles they would do well in because a requirements list reads like a checklist. This role is also a strong next step for software engineers who want to get closer to customers and see the direct impact of what they build.

How We Work

Every deployment is run by a PM–FDE duo. During your onboarding, we will pair you with an experienced PM and you will immediately lead the technical side of a small project. The PM and the rest of the team are there to help, but we expect you to take ownership very fast. You are expected to organize your work independently and arrange technical practicalities directly with the customer.

In return, you get a great place to learn quickly in one of the most exciting fields of the moment: enterprise AI. You will build real AI systems that real businesses depend on, work across many industries and tech stacks, and learn from Project Managers who are experts in getting AI adopted.

How to Apply

Send your CV and two lines about a technical project that didn’t go to plan, and what you did about it. No cover letter required.

The interview process

  1. A 30-minute introductory call
  2. A technical interview focused on system design and LLM applications
  3. A work-sample assignment: a short build based on a realistic customer scenario, which you then present to a Project Manager and an engineer as you would to the customer
  4. One or two reference-check calls

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