AI Engineer - LLM & Agentic Systems

Intec Select Limited; Greater London; Sur place; GBP 90 000 - 120 000; Plein temps

Résumé du poste

Intec Select Limited seeks an AI Engineer to scale LLM-powered systems across the organisation. You will design AI agents and agentic workflows, own end-to-end delivery from exploration to production deployment, and work with MCP-style architectures and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems.

We require strong Python skills, solid ML foundations, and a product mindset focused on real-world usability, latency and cost.

Qualifications

• Masters or higher in a mathematical, scientific or computer science discipline.
• Proven track record shipping production-grade LLM-powered systems.
• Experience building AI agents with tool use, orchestration and multi-step reasoning.

Responsabilités

• Designing and building AI agents and agentic workflows.
• Owning delivery end-to-end from exploration to production deployment.
• Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks.
• Integrating AI into products, APIs and core business workflows with a sharp eye on latency and cost.
• Collaborating closely with engineering teams to ensure systems are observable, maintainable and built to last.

Connaissances

Python

LLM systems

Agentic workflows

RAG systems

System design

Product mindset

Formation

Master's degree

Outils

LangChain

LangGraph

FastAPI

Description du poste

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.
• 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.