AI Engineer - LLM & Agentic Systems at Intec Select

Job Description:

Latest job information from Intec Select for the position of AI Engineer - LLM & Agentic Systems. If the AI Engineer - LLM & Agentic Systems vacancy in London matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Intec Select for the position of AI Engineer - LLM & Agentic Systems below matches your qualifications.

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

Job Info:

• Company: Intec Select
• Position: AI Engineer - LLM & Agentic Systems
• Work Location: London
• Country: GB

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information AI Engineer - LLM & Agentic Systems at the office London above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.