AI Engineer

About the role

A boutique consulting firm is looking for an AI engineer to build and deploy production-grade AI and machine learning solutions for enterprise clients.

What you'll do

• Design the solution architecture, choosing between off-the-shelf models, RAG, agents and custom models based on the client's problem and budget.
• Integrate LLMs into client systems, including prompt design, tool use and agentic workflows.
• Train, validate and deploy machine learning models for problems such as demand forecasting and anomaly detection.
• Analyse client data to test whether a use case is feasible, and build the data pipelines that feed models and applications.
• Evaluate and monitor solutions in production for accuracy, drift, latency and cost, and optimise them as issues appear.

Requirements

• 5+ years of professional software engineering, including at least two years building AI applications that run in production.
• Consulting or professional services experience, delivering to external clients against a fixed scope.
• A bachelor's or master's degree in computer science, engineering, mathematics or physics, or equivalent practical experience.
• Advanced Python, including testing, packaging and writing code that other engineers can maintain.
• Experience building agents with the Model Context Protocol (MCP) or agent frameworks.
• Experience training and deploying machine learning models with libraries such as scikit-learn, PyTorch or XGBoost.

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