We're on the lookout for an AI/ML Engineer who bridges hands-on AI engineering and client collaboration. Someone who loves getting hands-on with LLMs, agents and RAG pipelines, has solid roots in classical machine learning, and cares just as much about the client's business outcome as about the technical solution itself. In this role, you'll help clients identify where AI creates real value, then design, build and deliver production-grade solutions, with a strong focus on generative AI and LLM-based applications, while picking the right tool for each problem, from a gradient-boosted model to a multi-agent system.
In this role you sit at the intersection of clients, business and engineering, working across teams and disciplines. You'll report to the Head of ML at Sagacify and collaborate with the wider Sagacify and Craftzing delivery and sales organisation.
Experience with a major cloud provider (AWS, Azure or GCP)Familiarity with MLOps practices: CI/CD, model and data versioning (MLflow, DVC), monitoring, KubernetesExperience in one of our other focus domains: NLP, Computer Vision or time seriesExperience with gradient boosting libraries (XGBoost, LightGBM)Previous experience in a client-facing roleExperience contributing to proposals, pre-sales or client workshopsAI-native engineering workflows: hands-on experience with AI coding agents and AI-assisted development environments (Cursor, Claude Code, Windsurf, Copilot, etc.)Don’t worry if you don’t tick every single box, what matters most is the right mindset and a drive to learn. If you think we’re a match, we’d love to hear from you.
