At a Glance
- Tasks: Build and maintain cutting-edge AI software while collaborating with cross-functional teams.
- Company: Join VOIS, a leader in intelligent solutions within the global telco industry.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to inclusivity and continuous improvement.
- Why this job: Make a real impact by working on innovative AI-native engineering projects.
- Qualifications: 5+ years in software engineering with skills in Java, Spring Boot, and cloud-native applications.
The predicted salary is between 63000 - 77000 £ per year.
Who we are
VOIS (the company Intelligent Solutions) is a strategic arm of the company 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 the company Group, local markets, and partner markets to simplify and drive growth.
With our strategic partner Accenture, we work alongside our the company 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.
About this Role
We are seeking a Senior AI Software Engineer to build, test and operate production-grade software using AI-native engineering practices.
This role is ideal for an experienced software engineer who can translate technical designs, requirements and implementation plans into secure, reliable and maintainable software.
Working in a cross-functional delivery team, the role combines hands‑on software engineering with the responsible use of AI coding agents, automated development tooling and modern delivery practices.
The successful candidate will validate AI‑generated outputs, apply sound engineering judgement and ensure software is production‑ready, secure and aligned to business and technical requirements.
The Senior AI Software Engineer will take ownership of software components and services across their operational lifecycle, contributing to engineering excellence through code review, automated testing, observability, documentation, technical collaboration and continuous improvement.
What you will do
- Build, test and maintain APIs, services, integrations, customer journeys and platform capabilities.
- Translate assigned requirements, specifications and technical designs into high‑quality software implementations.
- Use AI coding agents to support implementation activities while retaining responsibility for validation, maintainability and quality.
- Review AI‑generated and colleague‑generated code, pull requests, tests and implementation artefacts for correctness and alignment to requirements.
- Validate AI‑generated code, documentation and test outputs before adoption into production codebases.
- Execute testing activities, including unit testing, integration testing, contract testing and regression verification.
- Contribute to CI/CD pipelines, deployment automation and production verification processes.
- Support incident investigation, root‑cause analysis and operational improvement activities.
- Identify defects, engineering risks and recurring failure patterns, contributing practical improvements where appropriate.
- Maintain clear technical documentation, reusable engineering assets and implementation knowledge.
- Collaborate with Lead AI Software Engineers, Technical Leads, Architects and Product teams.
- Support less experienced engineers through coaching, collaboration, pairing, peer review and knowledge sharing.
- Contribute to continuous improvement of software delivery practices, developer experience and engineering productivity.
- Take ownership of services and software components throughout their operational lifecycle
Who you are
- Experienced in software engineering, with
- 5+ years of experience delivering production‑grade software
- Skilled in software design, development, testing, deployment and operational support.
- Confident developing cloud‑native applications using
- Java, preferably Spring Boot
- , and
- React
, or equivalent enterprise application frameworks.
- Experienced in designing and implementing RESTful APIs, microservices
- , integrations and customer‑facing digital capabilities
- Familiar with cloud‑native architectures, distributed systems, containerised deployment models and event‑driven integration patterns.
- Experienced with CI/CD pipelines, automated testing, observability and production support.
- Able to apply AI coding tools and AI‑assisted development approaches responsibly within software delivery.
- Skilled in reviewing both AI‑generated and human‑written code, identifying defects, weaknesses and improvement opportunities.
- Committed to secure coding practices, software quality techniques, automated testing, operational readiness and reliability.
- Able to translate requirements, specifications and technical designs into reliable, maintainable and production‑ready software.
- Effective in cross‑functional teams, contributing positively to delivery outcomes and team capability.
- Focused on continuous improvement, automation, engineering consistency and developer productivity.
- Strong in debugging, troubleshooting and practical problem‑solving.
Not a Perfect Fit?
Concerned you may not meet every requirement? the company 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
- The opportunity to work on cloud‑native digital platforms, APIs, integrations and reusable engineering capabilities that support the company’s next‑generation products and services.
- Hands‑on exposure to AI‑native engineering practices, including the responsible use of AI coding agents and AI‑assisted development tooling.
- The chance to contribute to secure, scalable and production‑grade software used across multiple customer journeys, propositions and markets.
- Collaboration with cross‑functional teams, including Lead AI Software Engineers, Technical Leads, Architects and Product teams.
- Opportunities to shape engineering practices through code review, automation, testing, observability, documentation and continuous improvement.
- A role with ownership across the software lifecycle, from implementation and validation through to operational support and service improvement.
- What skills you will learn
- How to apply AI‑native engineering practices to real‑world software delivery in a secure, governed and quality‑focused environment.
- Advanced techniques for validating AI‑generated code, documentation and test outputs before production adoption.
- Practical approaches to building and operating cloud‑native APIs, microservices, integrations and digital services at scale.
- Enhanced skills in automated testing, contract testing, regression verification, observability and production readiness.
- Experience improving CI/CD pipelines, deployment automation and production verification processes.
- Deeper understanding of distributed systems, containerised deployments and event‑driven integration patterns.
- Stronger capability in root‑cause analysis, incident investigation and operational improvement.
- Coaching, pairing and peer review techniques that support shared learning and engineering consistency.
VOIS Equal Opportunity Employer Commitment the company 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 the company, 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.
#J-18808-Ljbffr
Senior AI Software Engineer in London employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Software Engineer in London
✨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 United States Digital Space LLC 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 United States Digital Space LLC.
✨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 United States Digital Space LLC.
✨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 United States Digital Space LLC 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 Senior AI Software Engineer in London
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 United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC
✨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 United States Digital Space LLC 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.
