Salary: £? - ? per year
Requirements
Commercial experience building Generative AI solutions.
Strong hands-on experience with RAG (Retrieval-Augmented Generation).
Experience developing AI Agents or Agentic AI applications.
Strong Python development skills.
Strong SQL skills.
Experience integrating applications using REST APIs.
Proven prompt engineering experience.
Experience deploying AI solutions into production environments.
Excellent stakeholder management and communication skills.
Knowledge of Knowledge Graphs.
Experience with LangChain and/or LangGraph.
Experience with Vector Databases and Embeddings.
Experience with Multi-Agent Systems.
Experience with Azure, AWS or GCP cloud platforms.
Experience working within Banking, Financial Services, FinTech, or Consulting.
Responsibilities
Design and develop AI-powered applications using Generative AI and Large Language Models (LLMs).
Build and optimise Retrieval-Augmented Generation (RAG) solutions.
Develop AI Agents and Agentic workflows to automate business processes.
Create effective prompts and implement prompt engineering best practices.
Integrate AI services with enterprise systems via REST APIs.
Develop scalable solutions using Python and SQL.
Test, evaluate, and improve AI model performance and reliability.
Work closely with engineering, data, and business teams to deliver innovative AI solutions.
Technologies
Agentic AI
AI
AI Agents
AWS
Azure
Cloud
GCP
LLM
Python
RAG
REST
SQL
More
We are hiring an experienced AI Engineer to join a growing team delivering cutting-edge Generative AI solutions within a large-scale enterprise environment. This contract role runs initially until Dec 2026 and offers a day rate of up to £800 inside IR35 via umbrella. We work in a hybrid model with 2 days per week in either Manchester, Leeds, or Edinburgh preferred, with Birmingham and Bristol also considered. This is an opportunity to work on high-profile AI transformation programmes, design and build enterprise-scale AI solutions, gain exposure to the latest GenAI, Agentic AI and LLM technologies, and help influence architecture, engineering standards, and AI strategy.
last updated 36 week of 2026
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