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  4. AI & Automation Graduate Developer 2026
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Quick overviewShowHide

What it is

  • You'll build AI assistants and automations that help a UK energy business run better.
  • You'll use Microsoft Copilot Studio, Azure AI and LLMs to connect chatbots and agents to company data and systems.
  • You'll help deliver RAG search, knowledge platforms and decision-support tools with developers and stakeholders.

Who it's for

  • Graduates with a degree in Computer Science, AI, Data Science, Software Engineering or a related field.
  • Useful if you know Python, C# or JavaScript, plus SQL and APIs.
  • Useful if you understand LLMs, prompt engineering and RAG, and have some Azure familiarity.

This overview was generated using AI

Reporting to Digital Development Manager

Based in Wilton International, Teesside

Purpose and scope

We are looking for an enthusiastic AI & Automation Graduate Developer to help develop and expand AI-powered solutions across the business. This is an exciting opportunity to gain hands-on experience with modern AI technologies while working on real-world applications that support operations, engineering, trading, and business users.

The successful candidate will work alongside software developers, data engineers, and business stakeholders to develop AI assistants, automation solutions, knowledge management platforms, and intelligent support tools.

This role offers the opportunity to work on enterprise-scale AI initiatives using Microsoft Copilot, Azure AI, automation platforms, and Large Language Models (LLMs), helping transform how employees interact with systems, knowledge, and operational data.

Key responsibilities

  • Support the development of AI-powered chatbots and virtual assistants.
  • Help build and enhance AI agents using Microsoft Copilot Studio and Azure AI services.
  • Assist with the design and implementation of Retrieval Augmented Generation (RAG) solutions using enterprise knowledge sources.
  • Develop integrations between AI solutions and existing business systems.
  • Assist with knowledge base creation, document indexing, and intelligent search capabilities.
  • Support the development of exception monitoring and automated decision-support tools.
  • Work with SQL databases, APIs, cloud services, and enterprise data platforms.
  • Test, document, and improve AI solutions before production deployment.
  • Follow Responsible AI, Security by Design, and data governance principles when developing AI solutions.
  • Research emerging AI technologies and identify opportunities for operational and commercial value.
  • Collaborate with developers and stakeholders to understand requirements and deliver solutions.
  • Participate in Agile development, sprint planning, testing, and release activities.

Ideal candidate

  • Passionate about Artificial Intelligence and emerging technologies.
  • Enjoys solving real-world business problems.
  • Curious and eager to learn new technologies.
  • Comfortable working with both technical and non-technical stakeholders.
  • Has a strong desire to improve processes through automation and innovation.
  • Demonstrates initiative and takes ownership of assigned tasks.

Desirable skills & experience

  • Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  • Knowledge of Python, C#, JavaScript, or similar programming languages.
  • Understanding of AI concepts including Large Language Models (LLMs), Generative AI, Machine Learning, Prompt Engineering, and Retrieval Augmented Generation (RAG).
  • Familiarity with Microsoft Azure or other cloud platforms.
  • Experience working with SQL databases and APIs.
  • Interest in automation, process optimisation, and digital transformation.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to learn quickly and adapt to new technologies.

Technologies you’ll work with

  • Microsoft Copilot Studio / Azure AI Services / Azure OpenAI / Power Platform / SQL Server
  • Azure DevOps /.NET / Microsoft Teams and Microsoft 365 / Azure Storage / Azure AI Search
  • Git and Source Control

What you’ll gain

  • Hands-on experience delivering AI solutions in a live business environment.
  • Mentoring from experienced software and platform engineers.
  • Exposure to cloud architecture, enterprise systems, and modern software development practices.
  • Experience designing and deploying AI assistants and intelligent automation solutions.
  • Opportunity to deliver AI solutions used by operations, engineering, trading, and corporate teams across multiple UK sites.
  • The chance to shape and influence the future AI strategy of the organisation.
  • Experience delivering projects that provide measurable operational and commercial value.
  • Exposure to Security by Design, DevOps, enterprise architecture, and AI governance practices.

Example projects

  • AI Helpdesk Chatbot
  • UMIS Historian AI Assistant
  • Exception Management Agent
  • Knowledge Management Assistant
  • AI-Driven Operational Reporting
  • Intelligent Document Search & Analytics
  • Copilot-Powered Employee Self-Service Assistant
  • Engineering Knowledge Search Platform
  • Automated Incident Investigation Assistant
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