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