AI Engineer - LLM & Agentic Systems

INTEC SELECT LIMITED; City Of London; Hybrid; GBP 92,000 - 125,000; Full time

Job summary

INTEC SELECT LIMITED is seeking an AI Engineer - LLM & Agentic Systems in London. The role is hybrid and contract-based (Outside IR35), offering a daily rate of approximately £500–£675. Mid-level to lead professionals shipping production AI systems are encouraged to apply.

You will design AI agents, own end-to-end delivery, and apply MCP-style architectures with LangChain/LangGraph to build scalable, observable systems in a production environment.

Qualifications

• Proven, production-grade experience shipping LLM-powered systems, with real-world examples.
• Hands-on experience building AI agents including tool use, orchestration and multi-step reasoning - RAG systems that deliver.
• Strong Python skills and solid ML foundations; able to write production-grade code with strong system design.
• Cloud deployment experience across AWS, GCP or Azure with modern engineering practices.
• Product mindset: focus on impact and adoption, not just model performance.
• Understand LLM/ML trade-offs and design systems accordingly.

Responsibilities

• Design and build AI agents and agentic workflows using LLMs, RAG, memory and tool orchestration.
• Own end-to-end delivery from exploration to production deployment and ongoing iteration.
• Work with MCP-style architectures (FastAPI) and LangChain/LangGraph to build scalable systems.
• Integrate AI into products, APIs and core workflows with attention to latency and cost.
• Collaborate with engineering to ensure observability and maintainability of systems.

Skills

Python

LLMs

Agentic AI

Tool orchestration

LangChain

FastAPI

RAG

System design

Production-ready coding

Cloud deployment

Education

Master's degree or higher in Math/Science/CS

Tools

LangChain

LangGraph

FastAPI

MCP architecture

Job description

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 data and information 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