AI Software Engineer

Office: 10 Kings Hill Avenue, West Malling

Type:
Full-time on site

Compensation: £45,000-£55,000 per annum £

AI is creating new opportunities for businesses to work smarter, move faster, and unlock greater value from their data. We're investing in the capability, people, and expertise needed to help our customers turn that potential into real-world results.

Our AI Practice designs and delivers practical solutions using Microsoft's AI, data, and cloud platforms. From AI agents and advanced analytics to Copilot-powered experiences, we help organisations solve meaningful business challenges while maintaining the security, governance, and control they expect.

This is a chance to join at an exciting stage of growth. As part of a small, high-impact team, you'll help define how we deliver AI solutions, influence our technical direction, and play a key role in establishing a capability that will shape the future of Virtuoso and our customers.

We’re looking for a hands-on Software Engineer to create AI-powered products, agentic applications, and integrations across Azure and Microsoft 365. You’ll contribute across a broad technical brief spanning software engineering, data engineering, and solution architecture.

You’ll take ownership throughout the solution lifecycle, from discovery and design through to build, optimisation, deployment, and continual improvement. AI will be part of both what you build and how you work, using coding agents to accelerate delivery while applying sound judgement about where AI adds genuine value.

Just as importantly, you’ll work directly with customers to understand how their businesses operate, uncover the challenges worth solving, and shape practical solutions alongside them. You’ll combine technical depth with strong communication skills, building trusted relationships and delivering outcomes that make a meaningful difference.£45,000-£55,000

This role combines engineering excellence, customer engagement, and AI innovation. The sections below outline the technologies, capabilities, and ways of working that help us deliver practical solutions and measurable business outcomes.

• Strong experience designing and delivering solutions using the Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and Dataverse.
• Proven ability to build business process automation and system integrations using Azure Logic Apps, Power Automate, and Microsoft cloud services.
• Experience creating AI-powered assistants and business solutions using Microsoft Copilot Studio, including custom copilots, workflows, and integrations with Microsoft 365
• Strong understanding of the Microsoft 365 ecosystem, including SharePoint Online, Teams, Exchange Online, Entra , and the Microsoft Graph API.
• Experience delivering solutions on Microsoft Azure, including serverless services, Functions, Logic Apps, API Management, and integration services.
• Knowledge of the wider
  
  Microsoft AI platform, including Azure AI Foundry, Azure OpenAI, Cognitive Services, and AI governance best practices.
• Ability to design and implement secure, scalable, cloud-native solutions with a focus on identity, automation, and business productivity.
• Confident using Git Hub and Azure Dev Ops for collaborative development, source control, CI/CD, and solution lifecycle management.
• Experience with custom development using C#, .NET, or Python where advanced integration or AI capabilities are required.

Practical experience designing, building, and deploying AI-powered solutions, with a strong understanding of the technologies, patterns, and trade-offs involved.

• Experience working with leading Gen AI platforms and model providers.
• Knowledge of agentic architectures, orchestration frameworks, and modern AI application development practices.
• Familiarity with retrieval-based patterns, vector databases, and techniques for grounding AI solutions in business data.
• Understanding of AI governance, safety, and responsible AI principles, including evaluation, guardrails, security, and compliance.
• Ability to make pragmatic engineering decisions that balance…