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Vodafone Logo Vodafone · IT - Software Development

Junior AI Software Engineer

United Kingdom, London · Job Posted July 03, 2026
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Job Description

The Digital & IT Team is responsible for designing, building, and operating the core digital and IT capabilities that power Vodafone’s next‑generation Digital & IT platform. As a Junior AI Engineer, you will work within cross-functional squads to build platform capabilities using an AI-enabled Software Development Life Cycle (AI-SDLC). You will apply AI tools to accelerate how we understand existing systems, generate specifications, and deliver software, working alongside engineers, architects, and product teams. You will help transform existing platform assets and business requirements into structured, reusable engineering artefacts, supporting delivery through spec-driven, thin-slice development. You will also support the responsible use of AI-generated outputs by validating accuracy, completeness, security, and alignment with Vodafone engineering standards.

Job Responsibility

  • Supporting analysis of existing systems to extract business logic, integrations, and reusable capabilities
  • Generating structured engineering artefacts to support consistent delivery
  • Contributing to AI-assisted development workflows, ensuring alignment between requirements, specifications, and implementation
  • Supporting incremental, thin-slice delivery of platform capabilities
  • Working closely with developers, architects, and product teams to maintain quality, consistency, and delivery pace
  • Use AI tools to support analysis of existing codebases and services, identifying reusable logic and integration patterns
  • Generate and refine specifications, acceptance criteria, and user stories aligned to platform architecture
  • Create test scenarios and validation artefacts derived from specifications
  • Support translation of business requirements into implementation-ready engineering artefacts
  • Work with developers to ensure alignment between specifications, code, and testing outputs
  • Validate AI-generated specifications, code suggestions, test scenarios, and documentation to ensure they are accurate, secure, consistent, and aligned with platform architecture and engineering standards
  • Support responsible AI-SDLC practices by identifying risks such as hallucinated requirements, incomplete logic, security gaps, or misalignment between business intent and implementation
  • Contribute to incremental, thin-slice delivery, maintaining traceability between requirements, specifications, and implementation
  • Assist in the implementation of services, APIs, and platform components, validating AI-generated outputs
  • Participate in agile ceremonies (refinement, planning, stand-ups, retrospectives)
  • Contribute to AI-SDLC practices, templates, and continuous improvement across the squad

Requirements

  • Experience with at least one programming language (e.g. Java, Python, JavaScript or similar)
  • Understanding of APIs, web services, and basic system integration concepts
  • Familiarity with modern development workflows (Git, CI/CD basics)
  • Awareness of AI/LLM tools and their application in software development
  • Exposure to cloud-native development concepts (e.g. microservices, containers, or cloud platforms)
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