Senior AI Engineer

Datashift; Oost-Vlaanderen; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Datashift is seeking a Senior AI Engineer to craft technical solutions that deliver business value. You’ll work with clients to reveal core challenges and develop tailored AI solutions across generative AI, ML and statistics, moving from proof-of-concept to production.

You’ll mentor junior colleagues, act as a technical sparring partner during presales, and help shape how Datashift’s AI practice evolves. This role can lead toward Lead or Expert depending on your interests.

Qualifikationen

• 4+ years of AI engineering experience in industry.
• Experience in consultancy is a big plus.
• Strong Python/SQL and data pipelines.
• Experience with GenAI and RAG, vector DBs.
• Experience on cloud platforms (AWS/Azure/GCP).

Aufgaben

• Translate client challenges into AI solutions spanning genAI, ML and statistics from concept to production.
• Mentor junior colleagues and coach teams.
• Contribute as a technical sparring partner during presales and scoping.
• Ensure solutions are scalable, secure, and measurable.
• Collaborate with clients to align AI efforts with business value.

Kenntnisse

Python

SQL

AI/ML

Data pipelines

GenAI

Cloud platforms

DevOps/MLOps

Communication

English

Dutch

Ausbildung

Bachelor's degree in CS/Engineering

Tools

Docker

Git

Airflow

pytest

Vector databases

Jobbeschreibung

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

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