Agentic AI Engineer at Russell Tobin, London Area, £Contract Rate

Data Scientist/Agentic AI / Machine Learning Scientist

London (Hybrid) | Outside IR35 Contract

We're Looking for AI Builders, Not AI Experimenters

We're looking for an engineer with hands-on, CV-evidenced experience building Agentic AI systems — this is non-negotiable.

Join a major AI programme delivering production-grade Agentic AI and LLM solutions at scale. This role is focused on building intelligent systems that solve real business problems, automate complex workflows, and generate measurable impact across products and enterprise transformation initiatives.

What You'll Do

• Design and deploy AI agents and agentic workflows powered by LLMs
• Build systems using RAG, reasoning, planning, memory, and tool orchestration
• Develop multi-step AI solutions capable of autonomous decision-making and tool usage
• Work with MCP-style architectures and modern orchestration frameworks
• Deliver recommendation, classification, forecasting, and automation solutions using large-scale datasets
• Deploy scalable AI systems across cloud environments including AWS, Azure, and GCP

What We're Looking For

• Strong Python engineering skills and experience writing production-grade code
• Proven experience deploying LLM-powered applications into production
• Hands-on expertise with LangChain, LangGraph, or similar frameworks
• Demonstrable experience building Agentic AI systems and AI agents
• Strong understanding of RAG architectures and LLM optimisation
• Experience with FastAPI, MCP/FastMCP, or similar technologies
• Familiarity with cloud-native AI deployments and data-driven applications

Important

Applications must clearly demonstrate hands-on Agentic AI experience. CVs should include specific examples of designing, building, deploying, or managing agentic systems. Applications without evidence of practical Agentic AI delivery will not be considered.

If you're passionate about building AI systems that ship, scale, and create real-world impact, we'd love to hear from you.