AI Engineer
Vix Technology & Kuba
| Company | Vix Technology & Kuba |
| Category | Engineering |
| Location | Manchester |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 28 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (workable) |
Description
AI Engineer Make the Connection. At Vix Technology, we're transforming the way millions of people move around the world. Our technology powers public transport systems in more than 200 cities worldwide, helping operators deliver smarter, more connected journeys. But we're just as passionate about transforming how we work. Artificial Intelligence is changing every part of modern business. We're not interested in experimenting for experimentation's sake—we're focused on using AI to solve real business problems, improve productivity and create better experiences for our employees and customers. That's where you come in. We're looking for an AI Engineer to help shape the future of AI at Vix. This is an opportunity to build the internal AI capability of a global technology company from the ground up, working across every business function to identify opportunities, develop intelligent applications and embed AI into the way we work every day. If you're excited by rapidly evolving technology, love building practical solutions and want your work to have visible impact across an entire organisation, we'd love to meet you. The Opportunity As our AI Engineer, you'll be responsible for accelerating AI adoption across Vix. You'll partner with teams across Engineering, Product, Finance, HR, Sales, Marketing, Customer Success and Operations to understand how they work today—and design AI-powered solutions that help them work smarter tomorrow. You'll build an internal suite of AI applications, copilots and automations that eliminate repetitive work, improve decision-making and unlock new ways of working. Some solutions may leverage commercial AI platforms, while others will be custom-built using modern LLM frameworks, APIs and cloud technologies. This isn't a research role. It's about taking great ideas and turning them into production-ready tools that people genuinely enjoy using. You'll become the organisation's technical expert on AI, helping define best practice, evaluate emerging technologies and ensure AI is deployed responsibly, securely and effectively. What You'll Be Doing You'll spend your time identifying opportunities where AI can make the biggest difference and rapidly turning those ideas into working solutions. That might include: Building internal AI applications that improve productivity across every business function. Developing intelligent copilots, knowledge assistants, workflow automations and decision-support tools. Integrating leading AI models and services into existing business systems and applications. Creating secure Retrieval-Augmented Generation (RAG) solutions using Vix knowledge and documentation. Designing prompt engineering frameworks and reusable AI components. Working closely with software engineers to integrate AI capabilities into existing platforms and products where appropriate. Exploring agentic AI, orchestration frameworks and workflow automation to solve complex business challenges. Helping establish governance, security and responsible AI practices across the organisation. Staying ahead of the rapidly changing AI landscape and bringing new ideas back into the business. Coaching colleagues on how to use AI effectively and helping build a culture of experimentation and continuous learning. About You You're someone who loves building things. You enjoy taking an idea from a conversation to a working prototype and then refining it into something people rely on every day. You're naturally curious, constantly exploring new AI capabilities and excited about how emerging technologies can improve businesses. You balance technical depth with commercial thinking—you don't just ask "Can we build this?" but "Should we?" and "Will it make a difference?" You're comfortable working with both technical and non-technical stakeholders and can explain complex AI concepts in plain English. Most importantly, you're motivated by impact rather than hype. What
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