hirq
← All jobs

Datashift NV

Senior AI Engineer

Mechelen/Leuven/Gent, Vlaams Gewest, Belgium · Remote · fulltime_permanent · Artificial Intelligence

Apply well, not just fast

Create a free account and upload your resume to get a match score, keyword gaps, a tailored resume, a cover letter and interview prep for this job.

About the role

Machine LearningGenerative AIBusiness Development
At Datashift, we’re looking for a Senior AI Engineer who excels in crafting challenging technical solutions that deliver business value. Do you build and leverage AI technologies as a means to solve real business problems? Do you have a proven track record of challenging assumptions on AI, uncovering the true need behind a client’s request, and developing tailored AI solutions that make a lasting impact? As an AI Engineer, you’ll work closely with clients to reveal the core challenges before diving into solutions, selecting the best-fit approach—whether it’s generative AI, machine learning, statistical modeling, or something entirely different. You’ll build scalable applications from proof-of-concept to production. As a Senior AI Engineer at Datashift, you’ll not only be delivering projects — you’ll also coach and guide junior colleagues, act as a technical sparring partner during presales, and help shape how the team and Datashift’s AI practice evolve. This role is a natural stepping stone towards Lead or Expert, depending on where your interests lie. Responsibilities  - We see AI as a means, not as a goal. We’re looking for a Senior AI engineer who always searches for the best technology to address specific data related business problems, whether it’s genAI, machine learning, statistical models, or other methods - Translate fuzzy client requirements into creative, pragmatic solutions, delivering rapid MVPs to quickly validate ideas and show business value - Scale and harden proven prototypes into robust, production-grade, and secure AI applications - Build solutions from POC to fully integrated applications, ensuring customer constraints such as security and privacy are met from the start - Understand business requirements and dare to challenge clients to clearly pinpoint the underlying problem - Ensure AI solutions are reliable and measurable, using structured evaluation, monitoring, and responsible AI practices (e.g. evaluation frameworks, guardrails, bias/quality checks) - Communicate effectively about your technical solution towards different stakeholders at all levels - Act as a mentor and technical coordinator for junior and medior colleagues, providing structured guidance rather than ad-hoc support - Initiate and participate in initiatives to share knowledge and leverage your expertise within the team - Support presales and business development as a technical sparring partner — helping scope solutions, estimate feasibility, and advise clients before a project even starts