Senior AI Engineer / Applied AI Engineer

Project overview

Senior AI Engineer / Applied AI Engineer

Project details

London Hybrid 2/3 days per week

Focus: Agentic AI | LLMs | RAG | Machine Learning

Length: 6 months

Outside IR35

The opportunity

We're looking for AI Engineers and Applied AI specialists to join a growing AI function focused on building production-grade AI products.

You'll work across LLM applications, AI agents, RAG, intelligent automation and machine learning, taking solutions from initial concept through to deployment, evaluation and continuous improvement.

This is a hands-on environment focused on shipping real-world AI solutions, rather than purely experimentation or proof-of-concepts.

What you'll be doing

What we're looking for

We're interested in candidates with hands-on commercial experience across several of the following:

Experience with recommendation systems, forecasting, NLP, classification or traditional machine learning would also be valuable.

What we're really looking for

We're particularly interested in people who have taken AI beyond the PoC stage and into production.

Whether you've built AI agents, enterprise RAG platforms, multi-agent workflows or production LLM applications, we're more interested in what you've built and the problems you've solved than ticking every technology box.

Interested?

If you're currently building production AI systems and would like to hear more, please apply or get in touch for a confidential conversation.

Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

• Build production-grade LLM and Generative AI applications
• Develop AI agents and agentic workflows
• Design RAG and advanced retrieval solutions
• Build single and multi-agent architectures
• Integrate LLMs with enterprise tools, APIs and data
• Develop robust AI evaluation, monitoring and guardrails
• Deploy AI applications across cloud environments
• Work closely with product, engineering and business teams to solve complex problems
• Python
• Agentic AI / AI Agents
• RAG
• LangChain, LangGraph, LlamaIndex or similar
• MCP / FastMCP
• OpenAI, Claude, Gemini or open-source LLMs
• AWS Bedrock, Azure OpenAI / AI Foundry or Vertex AI
• Vector databases / semantic search
• FastAPI
• Docker / Kubernetes
• LLM evaluation and observability
• Start: flexible
• Location: London, GB