Junior AI Software Engineer

Vodafone Limited
London, UK
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Business Logic BASIC (Programming Language) Cloud Computing DevOps Systems Analysis Integrated Development Environments Python (Programming Language) Systems Development Life Cycle
+10 more
Software Engineering Systems Integration Web Services Large Language Models Git Containerization Information Technology Codebase Programming Languages Microservices

Job description

We are seeking a Junior AI Software Engineer to work within the Digital&IT team, supporting the design, build and operation of core Digital&IT capabilities. In this role, the candidate will work in cross-functional squads and apply AI-enabled Software Development Life Cycle practices to help analyse existing systems, generate structured specifications, support software delivery and validate AI-generated outputs against engineering standards. The role is suited to someone with a strong foundation in software engineering, an interest in AI-assisted delivery, and the ability to work collaboratively with engineers, architects and product teams to create reusable engineering artefacts and support incremental, specification-led development. What you will do

  • Support the analysis of existing systems to identify business logic, integration patterns and reusable capabilities.
  • Use AI tools to support analysis of codebases and services, helping identify reusable logic and engineering patterns.
  • Generate and refine specifications, acceptance criteria and user stories aligned with platform architecture.
  • Create test scenarios and validation artefacts derived from specifications.
  • Support the translation of business requirements into implementation-ready engineering artefacts.
  • Collaborate with developers to ensure alignment between specifications, code and testing outputs.
  • Validate AI-generated specifications, code suggestions, test scenarios and documentation to ensure accuracy, consistency, security and alignment with engineering standards.
  • Support responsible AI-SDLC practices by identifying risks such as incomplete logic, security gaps and misalignment between business requirements and implementation.
  • Contribute to incremental, thin-slice delivery while maintaining traceability between requirements, specifications and implementation.
  • Assist with the implementation of services, APIs and platform components.
  • Participate in agile ceremonies including refinement, planning, daily stand-ups and retrospectives.
  • Contribute to AI-SDLC practices, templates and continuous improvement across D&IT squads., * Opportunity to work with AI-enabled software engineering practices in a fast-evolving technology environment.
  • Exposure to specification-led and AI-assisted software delivery methodologies.
  • Experience working alongside software engineers, architects and product teams.
  • Development opportunities across AI, cloud-native technologies and modern engineering practices.
  • Participation in innovative digital transformation programmes within D&IT.

What skills you will learn

  • AI-assisted software engineering and AI-SDLC methodologies.
  • System analysis and requirements decomposition techniques.
  • Specification writing, user story creation and validation processes.
  • API and service-based architecture design principles.
  • Traceability between requirements, implementation and testing.
  • Agile delivery and continuous improvement practices.
  • Responsible AI usage within software development environments.

Requirements

  • Experience with at least one programming language such as Java, Python, JavaScript or similar.
  • Understanding of APIs, web services and basic system integration concepts.
  • Familiarity with modern development workflows including Git and CI/CD fundamentals.
  • Awareness of AI and Large Language Model (LLM) tools and their application within software development.
  • Exposure to cloud-native development concepts such as microservices, containers or cloud platforms.
  • Degree in Computer Science, Engineering, Data Science or equivalent experience.
  • Understanding of how AI tools can support software engineering, specification development and delivery workflows.
  • Awareness of responsible AI practices, including validation, traceability, quality assurance and security considerations.
  • Strong communication and documentation skills.
  • Ability to collaborate effectively within cross-functional teams.
  • Curiosity, adaptability and enthusiasm for continuous learning.
  • Exposure to agile delivery and continuous improvement practices.

About the company

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. #VOIS #BeUnrivalled #CreateTheFuture

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