AI Engineer - Manchester

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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