AI Engineer - LLM & Agentic Systems
Posted Today by Intec Select
£675 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The AI Engineer - LLM & Agentic Systems role focuses on designing and building AI agents and workflows that leverage large language models (LLMs) to address complex business challenges. The position requires end-to-end ownership of delivery, from exploration to production deployment, within a hybrid working environment. Candidates should have proven experience in shipping production-grade LLM systems and a strong foundation in machine learning and Python. This role is ideal for those looking to contribute to significant AI advancements in a global B2B professional services company.
Key Responsibilities:
- Designing and building AI agents and agentic workflows using LLMs, RAG, reasoning, memory, and tool orchestration.
- Owning delivery from initial exploration through to production deployment, integration, and ongoing iteration.
- Working with MCP-style architectures and frameworks to build reliable, scalable systems.
- Integrating AI into products, APIs, and core business workflows with a focus on latency, cost, and usability.
- Collaborating with engineering teams to ensure systems are observable, maintainable, and built to last.
Key Skills:
- Proven experience shipping LLM-powered systems with real-world examples.
- Hands-on experience building AI agents, including tool use, orchestration, and multi-step reasoning.
- Strong Python skills and solid machine learning foundations.
- Cloud deployment experience across AWS, GCP, or Azure.
- A product mindset focused on impact and adoption.
- Masters or higher in a mathematical, scientific, or computer science discipline.
- Experience in SaaS, B2B AI products, or large-scale AI transformation.
Salary (Rate): £675 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
AI Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI / Machine Learning.
Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for.
What you'll be working on as an AI Engineer - LLM & Agentic Systems:
- Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to solve real, complex business problems.
- Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration.
- Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems.
- Integrating AI into products, APIs and core business workflows - with a sharp eye on latency, cost and real-world usability.
- Collaborating closely with engineering teams to ensure systems are observable, maintainable and built to last.
You're experience as an AI Engineer - LLM & Agentic Systems:
- Proven, production-grade experience shipping LLM-powered systems - with clear, real-world examples you can speak to confidently.
- Hands-on experience building AI agents including tool use, orchestration and multi-step reasoning - RAG systems that actually deliver, not just proofs of concept.
- Strong Python skills and solid machine learning foundations - able to write clean, production-grade code with a firm grasp of system design principles.
- Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices.
- A product mindset - you care about impact and adoption, not just model performance.
- You understand LLM and machine learning trade-offs and design systems accordingly.
About you: You'll likely have a Masters or higher in a mathematical, scientific or computer science discipline. More importantly, you've built things that are used - and you can explain clearly why you made the decisions you did. At senior and lead level, we're looking for people who take strong ownership, mentor others naturally and can drive complete workflows and projects from brief through to delivery. A background in SaaS, B2B AI products or large-scale AI transformation is a strong signal. Ambitious, but a genuine team player - you raise the bar without making it about yourself. If you're building serious AI systems and want to do it at scale within a well-established global business, we'd welcome a conversation.
Machine Learning & Agentic AI