AI Engineer
This role
This is a remote opportunity for one of our Dutch clients. Please note that this role does not include emigration or relocation.
Our client is seeking a motivated and independent Artificial Intelligence Engineer to strengthen their team. The successful candidate will play a key role in advancing the AI capabilities within their digital workplace platform, contributing directly to their mission of simplifying work through intelligent solutions.
The engineer will design, build, evaluate, and deploy AI functionalities for their core product. A major focus is on developing and improving their AI Assistant, including building Retrieval-Augmented Generation (RAG) systems that connect to multiple internal data sources. The role blends hands-on AI/ML engineering with cross-team collaboration to solve real business challenges.
Key Responsibilities:
Developing and deploying RAG-based AI systems and integrating them into the product
Preparing and organizing data for model training and evaluation
Creating reusable datasets and internal reports to measure performance, accuracy, and effectiveness
Staying current with generative AI developments and advising on strategies and improvements
Promoting AI awareness internally and highlighting risks of misuse
Continuously improving the AI Assistant to ensure best-in-market performance
Company profile
Our client is a Dutch tech scale-up focused on simplifying the digital work experience. Their platform brings apps, tasks, and information together in one intuitive environment, helping organizations boost productivity and collaboration.
They are growth-oriented, people-focused, and driven by continuous improvement. Teams work cross-functionally, take ownership of their work, and embrace learning. Whether a candidate’s background is in engineering, product, customer success, or operations, there are many opportunities to contribute to an evolving, impactful platform.
The organization combines the energy of an ambitious tech company with a supportive, down-to-earth culture. Learning, responsibility, and improvement are central to how they operate. Employees are encouraged to experiment, iterate, and help shape the future of the product.
Colleagues describe the environment as inclusive, fun, and challenging. The focus is on progress over perfection, and on helping one another grow.
For candidates seeking a place where innovation meets simplicity — and where they can have real impact — this is an exciting environment to build their career.
Function criteria
5+ years of experience in NLP, ML, or generative AI
Strong Python skills (C# is a plus) and familiarity with ML libraries (NumPy, Pandas, PyTorch)
Solid understanding of AI/ML concepts and LLM-based approaches
Experience training, fine-tuning, and evaluating AI models
Independent, proactive, and able to tackle complex real-world challenges
Nice to have's:
Experience with RAG systems and prompt engineering
Understanding of inference pipelines (data curation → deployment)
Experience deploying Dockerized API services on cloud platforms (Azure preferred)
A clear vision for supporting AI growth in a scaling tech environment
Tech Environment:
AI/ML: OpenAI GPTs, LangChain, HuggingFace, PyTorch, OpenRouter
Backend & Infrastructure: FastAPI, Pydantic, DVC, Docker, Microsoft Azure
Data & Search: Elasticsearch, Redis, MSSQL
Messaging & Orchestration: RabbitMQ
Job offer
Market-related salary.
Company laptop.
Commitment to an indefinite contract with our client.
Mentoring and coaching until you go over to the payroll of our client.
Pleasant working atmosphere, where you can be and stay yourself.
Apply now
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