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…