Job Description
AI Engineer - LLM & Agentic Systems
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- London - Hybrid.
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- Circa £500 – £675 per day (and negotiable DOE)
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- Contract (Outside IR35)
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- Mid-level, Senior & Lead.
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- Agentic AI / Machine Learning.
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Company:
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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.
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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.
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What you'll be working on as an AI Engineer - LLM & Agentic Systems:
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- Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to solve real, complex business problems.
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- Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration.
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- Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems.
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- Integrating AI into products, APIs and core business workflows - with a sharp eye on latency, cost and real-world usability.
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- Collaborating closely with engineering teams to ensure systems are observable, maintainable and built to last.
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You're experience as an AI Engineer - LLM & Agentic Systems:
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- Proven, production-grade experience shipping LLM-powered systems - with clear, real-world examples you can speak to confidently.
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- Hands-on experience building AI agents including tool use, orchestration and multi-step reasoning - RAG systems that actually deliver, not just proofs of concept.
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- Strong Python skills and solid machine learning foundations - able to write clean, production-grade code with a firm grasp of system design principles.
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- Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices.
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- A product mindset - you care about impact and adoption, not just model performance.
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- You understand LLM and machine learning trade-offs and design systems accordingly.
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About you:
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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.
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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.
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Ambitious, but a genuine team player - you raise the bar without making it about yourself.
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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.
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Machine Learning & Agentic AI
AI Engineer - LLM & Agentic Systems in London employer: Intec Select Limited
Join a highly reputable financial corporation as a Cloud Security Engineer, where you will be part of an established security team driving innovation in cloud technology. With a competitive salary of £90,000 to £100,000 plus a 25% bonus, this role offers hybrid working options and a comprehensive benefits package including flexible working hours, generous holiday allowance, and robust medical and life cover. The company fosters a collaborative work culture that prioritises employee growth and development, making it an excellent employer for those seeking meaningful and rewarding careers in cybersecurity.
