Key Skills

Job Description

Company Description VitalSail guides organizations in turning the potential of Artificial Intelligence into secure, scalable, and practical solutions that deliver real business value. The company designs AI strategies and roadmaps, develops AI products and agents, and builds intelligent automation and RAG-powered knowledge solutions, including private AI environments integrated with existing systems. VitalSail also supports adoption, training, and governance to help teams use AI effectively and responsibly. With more than 25 years of experience in software engineering, enterprise IT, and digital innovation, VitalSail combines deep technical expertise with current AI knowledge. The organization brings together AI strategy, AI engineering, and organizational change to deliver end-to-end AI solutions. Role Description This is a full-time, on-site Artificial Intelligence Engineer role based in Middelharnis. The Artificial Intelligence Engineer will design, build, and maintain AI models and systems, including pattern recognition pipelines, neural network architectures, and NLP-based solutions. Day-to-day responsibilities include researching and prototyping AI approaches, implementing production-ready software, integrating AI services with existing systems, and optimizing performance, reliability, and security. The role involves collaborating with consultants and product teams to translate business needs into technical specifications, developing RAG and knowledge assistant solutions, and documenting architectures, models, and APIs. The Artificial Intelligence Engineer will also help evaluate new AI tools, contribute to best practices for AI governance, and support internal training and knowledge sharing. Qualifications Strong foundation in Computer Science and Software Development, including data structures, algorithms, and clean coding practices. Proficiency in Pattern Recognition and Neural Networks, with experience training, evaluating, and deploying machine learning and deep learning models. Hands-on experience with Natural Language Processing (NLP), including modern transformer-based models, text classification, and information retrieval. Knowledge of AI infrastructure and tooling (e.g., Python, ML frameworks such as PyTorch or TensorFlow, version control, CI/CD, containerization). Experience integrating AI solutions with existing enterprise systems, APIs, and data sources. Ability to analyze complex business problems and translate them into clear technical requirements and AI solutions. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field, or equivalent practical experience. Strong communication skills, collaborative mindset, and willingness to work on-site with cross-functional teams in Middelharnis. Familiarity with AI governance, security, and responsible AI practices is a plus. Experience with RAG, vector databases, or knowledge assistants is beneficial.

Core Responsibilities

Design, build, and maintain AI models and systems, including NLP, neural network, and RAG solutions, and integrate them with existing enterprise systems. Research and prototype approaches, deliver production-ready software, optimize performance and security, document technical designs, and support AI governance and knowledge sharing.

Requirements

Requires a strong foundation in computer science and software development, with practical experience training, evaluating, and deploying machine learning or deep learning models and building NLP solutions. Candidates should know AI infrastructure and enterprise integrations, communicate effectively with cross-functional teams, and have a bachelor’s or master’s degree in a relevant field or equivalent practical experience.