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