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 bedelivering 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
