SAGACIFY - AI/ML Engineer

What you'll do :

• Understand clients' business needs and translate them into clear, feasible end-to-end AI solutions
• Act as a trusted point of contact for clients throughout the project, from scoping to delivery
• Run discovery sessions and technical workshops with business and technical stakeholders
• Design and build AI solutions combining LLMs, vector databases, APIs, orchestration layers and user interfaces
• Develop agents and RAG pipelines connecting client data to LLMs for grounded, reliable answers
• Perform prompt and context engineering to improve output quality and reduce hallucinations
• Build, train and evaluate classical ML models (classification, regression, forecasting, clustering) when they are the best fit for the problem
• Handle the data side: gathering, cleaning, validating data quality and feature engineering
• Evaluate solutions rigorously, using ML metrics, generative AI metrics and production monitoring (quality, drift, costs)
• Deploy solutions to the cloud with attention to security, reliability and cost efficiency, including versioning and reproducibility of models and data
• Present and explain AI concepts, trade-offs and results to non-technical audiences
• Support sales in qualifying opportunities, estimating effort and writing proposals
• Contribute to demos, proofs of concept and internal knowledge sharing

Who we're looking for :

• You hold a Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or a related field
• You have 2 to 5 years of experience in AI/ML engineering or related fields
• You're proficient in Python and software development best practices
• You have strong machine learning fundamentals: supervised and unsupervised learning, feature engineering, model validation and the statistics behind them
• You have hands-on experience with the Python data and ML stack: Pandas, NumPy, Scikit-learn and PyTorch (or TensorFlow)
• You have a solid understanding of LLM fundamentals: Transformers, generation parameters, RAG and fine-tuning approaches
• You have hands-on experience with tools such as the OpenAI API, Hugging Face, LangChain/LangGraph, FastAPI and Docker
• You're comfortable working with data in SQL databases
• You're a natural consultant: you listen, ask the right questions and see the business behind the technical problem
• You're comfortable presenting to clients and explaining complex topics simply
• You have strong problem-solving ability and a pragmatic, solution-oriented mindset
• You have a team spirit and enjoy collaborating across multiple roles
• You're autonomous, curious, and quick to learn new tools
• You can communicate fluently in English and French or Dutch