Agentic AI Engineer
Posted Today by Russell Tobin
Negotiable
Outside
Hybrid
London Area, United Kingdom
Summary: The role of Agentic AI Engineer involves building production-grade Agentic AI systems and LLM solutions to address real business challenges. Candidates must have hands-on experience in designing and deploying intelligent systems that automate workflows and deliver measurable impacts. The position requires strong Python engineering skills and familiarity with cloud environments. This is a hybrid role based in London, classified as outside IR35.
Key Responsibilities:
- 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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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.