Junior AI Software Engineer

Junior AI Software Engineer

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join us to develop AI-driven software solutions and collaborate with diverse teams.
  • Company: Be part of Vodafone Intelligent Solutions, a leader in tech innovation.
  • Benefits: Gain hands-on experience, competitive pay, and opportunities for growth in a dynamic environment.
  • Other info: Inclusive workplace that values diversity and encourages continuous learning.
  • Why this job: Dive into the future of AI and software engineering while making a real impact.
  • Qualifications: Familiarity with programming languages and a passion for AI and collaboration.

The predicted salary is between 63000 - 77000 £ per year.

Who We Are

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.

About This Role

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

Who You Are

  • 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

Not a Perfect Fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What’s In It For You

  • 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

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

Junior AI Software Engineer employer: VOIS

Vodafone is an exceptional employer, offering a dynamic and collaborative work environment in London, Paddington, where innovation and continuous improvement are at the forefront of our mission. As a Principal AI Platform Engineer, you will have the unique opportunity to shape high-impact platform transformations while working with cutting-edge AI technologies, all within a culture that values diversity and supports employee growth through mentorship and cross-functional leadership. Join us to influence strategic decisions and enhance developer productivity in a role that promises both meaningful challenges and rewarding experiences.

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Contact Details:

VOIS Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior AI Software Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at VOIS or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to VOIS.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like VOIS.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like VOIS that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Junior AI Software Engineer

Programming Languages (Java, Python, JavaScript)
API Understanding
Web Services Knowledge
System Integration Concepts
Git and CI/CD Fundamentals
AI Tools Awareness
Large Language Model (LLM) Tools

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at VOIS.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at VOIS and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at VOIS

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If VOIS uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.