Generative AI Engineer

Focus:

Agentic AI | LLMs | RAG | Machine Learning

Length

6 months

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

• 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

What we're looking for:

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

• 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
• FastAPI
• LLM evaluation and observability

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

#J-18808-Ljbffr

Full job description from WhatJobs. Apply for this role →