Senior AI Engineer
Role overview
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
- check_circle 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
- check_circle Translate fuzzy client requirements into creative, pragmatic solutions, delivering rapid MVPs to quickly validate ideas and show business value
- check_circle Scale and harden proven prototypes into robust, production-grade, and secure AI applications
- check_circle Build solutions from POC to fully integrated applications, ensuring customer constraints such as security and privacy are met from the start
- check_circle Understand business requirements and dare to challenge clients to clearly pinpoint the underlying problem
- check_circle Ensure AI solutions are reliable and measurable, using structured evaluation, monitoring, and responsible AI practices (e.g. evaluation frameworks, guardrails, bias/quality checks)
- check_circle Communicate effectively about your technical solution towards different stakeholders at all levels
- check_circle Act as a mentor and technical coordinator for junior and medior colleagues, providing structured guidance rather than ad-hoc support
- check_circle Initiate and participate in initiatives to share knowledge and leverage your expertise within the team
- check_circle Support presales and business development as a technical sparring partner — helping scope solutions, estimate feasibility, and advise clients before a project even starts
Basic qualifications
- At least 4 years of experience as AI Engineer in industry, including experience in consultancy as a big plus
- Strong quantitative or technical background (e.g. computer science, data science, mathematics, engineering, or equivalent through experience)
- Proven track record of bringing business impact with successful delivery of AI applications in production environment
- Strong Python & SQL skills, with a focus on data cleaning, preprocessing, and building robust pipelines
- Extensive knowledge of AI, combining traditional machine learning with modern GenAI solutions and tooling (e.g., RAG, agentic workflows, vector databases, fine-tuning)
- Experience with cloud platforms (AWS, Azure, or GCP) to deploy and manage AI solutions
- Proven experience with software engineering best practices (clean, modular code, pytest, Git) and DevOps/MLOps tooling (Docker, CI/CD, orchestration tools such as Airflow)
- Excellent communication skills, and proven success in contributing to a team-oriented environment, with acting as a coach/mentor to junior colleagues as a plus
- Fluent in English. Fluency in Dutch is a big plus
Tags & Focus Areas
About dataSHIFT
Ready to Join the Team?
Apply once with DevFound — we route your profile to dataSHIFT and keep you posted on matching AI roles.