AI Solution Engineer

Dataroots BVBA

Vlaanderen

Hybride

EUR 70 000 - 110 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Mobility budget or company car with a充
Hospitalization and group insurance
High-end laptop
Smartphone with subscription
Substantial holidays
Meal vouchers
Diverse and welcoming work environment
Training budget
Team-building events and sports

Résumé du poste

Dataroots BVBA is seeking an AI Solution Engineer to bridge business and technical teams, turning ambitious data-driven goals into production-grade agents and workflows. You will advise on where agentic AI adds value, while ensuring solutions work in real client environments and with their constraints.

You’ll combine software engineering with stakeholder engagement, building end-to-end solutions that survive handovers and scale across engagements. English plus Dutch and/or French are valued.

Qualifications

  • Experience building software/data systems and shipped code to real users.
  • Ability to own a system end-to-end and ship in production.
  • Comfort working with thin briefs and moving teams forward.

Responsabilités

  • Understand before you build: map real work and identify where agents help.
  • Build and ship in client stack: code, data connections, production deployment.
  • Define handoffs to ensure trust between humans and agents.
  • Drive adoption and ensure the client team can operate and extend the solution.
  • Create reusable building blocks for future engagements.
  • Own the playbook: capture learnings for future client work.

Connaissances

Engineering principles
AI mindset
Comfort in chaos
Why, not what
Build to last
Signal ownership
Fluent English
Dutch and/or French

Outils

Python
LLM tools

Description du poste

A client has decided agentic AI is the way forward. Budget approved, sponsor enthusiastic, (potential) use cases selected. Nothing runs yet. That's where you come in. You turn their ambition into a solution that runs on their data, in their system, with their people, under their constraints.

As an AI Solution Engineer, you are part of the Strategy & Analytics unit, working between business stakeholders and deep technical teams. Half of this job is engineering. The other half is spending time with the people who will use the solution, watching how they actually work, where they lose their time. You advise on where an agent genuinely helps and when it is the wrong answer.

What you'll be doing
  • Understand before you build. Sit with the people doing the work, learn and map how it really happens, figure out where an agent genuinely helps and where it is the wrong tool.

  • Build and ship in their stack. The agents, the connections into their data and systems, and a usable interface when the job needs one. You write the code, and it runs in production, not in a demo.

  • Draw the line. Where the agent acts alone, where a person decides. Shape the handoffs so people trust the system rather than fight it.

  • Ship to adoption, then make yourself unnecessary. The client\'s team can run, trust and extend what you built, so it keeps working long after you have moved on. What survives without you is the real measure of success.

  • Carry it forward. Same problems, different disguises. Turn repeating parts into building blocks the team reuses. Each engagement should starts further ahead than the last.

  • Own the playbook. We\'re early in this, so there isn\'t one yet. What you learn in the field becomes how Dataroots offers and delivers agentic AI: the building blocks, the patterns, the arguments we take to clients.

What we\'re looking for

(Not every box needs ticking. If the role fits how you like to work, apply and tell us why.) A capable engineer to ship things people depend on. We hire for judgment and drive rather than a complete checklist, and we look for people who can create momentum from a thin brief.

  • Engineering principles. Experience building software/data systems. You have shipped code to real users, prefer simple solutions and can own a system E2E. (Python is a plus)

  • AI mindset. You take LLM tools and systems past the demo. You know where they work, where they are limited, and how you\'d prove it in production: evaluation, observability, the unglamorous parts that keep an agent honest. (If most of that mileage came from your own projects, side builds and weekend experiments, that counts)

  • Comfort in chaos. You do well when the brief is thin and the ground is half-built. You bring structure and momentum instead of waiting for someone to hand you clarity.

  • Why, not what. You think about why a client wants something, not just what they asked for. You\'re willing to challenge, think out of the box, and propose a better path.

  • Build to last. Build tools to survive the handover, with the customer instead of around them. You communicate clearly enough to be trusted by both technical and non-technical stakeholders.

  • Signal ownership: founder, first engineer, technical lead, or the person everyone came to when something had to work by Friday.

  • Fluent English, plus Dutch and/or French.

Nice to have:

  • Range (industry, tools, problem domain)

  • Breadth (front-end, cloud setup, integration glue, etc.)

  • Familiarity with agentic toolkit (MCP, retrieval, knowledge graphs)

  • Background close to customers or between product and users (consulting, solutions engineering, early-stage product work)

The Offer
  • An attractive salary with extralegal benefits, including:

    • Mobility budget or a company car with fuel/charging card

    • Hospitalization and group insurance

    • High-end laptop

    • Smartphone with subscription

    • Substantial amount of holidays

    • Meal vouchers

  • Diverse and welcoming work environment, where you\’ll collaborate & unwind with colleagues from different cultures and disciplines. The organization of both fun & professional events and initiatives is actively encouraged and supported.

  • A training budget for individual and team learning opportunities.

  • Tons of team-building events and sports initiatives to stay connected and unwind.

Our main offices are in Leuven and Ghent, with co-working spaces in Charleroi and Antwerp. These locations are always available for brainstorming sessions or team events. As a Dataroots expert, much work can be performed remotely, but you will most likely also visit our clients on-site. Ready for a new chapter as an AI Solution Engineer at Dataroots?

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