Explicitly calls out vibe coding and AI-assisted development—uses AI dev assistants like GitHub Copilot, Claude, and Cursor for rapid prototyping and agentic workflows.
About the Role
Hands-on AI Developer building AI-powered client solutions and internal tools by integrating LLMs, agentic systems, and Azure AI services. Split between client delivery and internal enablement, the role focuses on practical implementation, prototyping, and promoting AI-assisted development practices.
Job Description
Role
A hands-on AI Developer responsible for designing, developing, and deploying AI-integrated solutions for client engagements and internal capability building. The role combines delivery work with internal development and enablement, focusing on integrating LLMs, agentic workflows, and Azure AI services into production applications.
Key Responsibilities
Delivery
- Design, develop, and deploy AI-integrated solutions for clients using modern full-stack technologies.
- Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications.
- Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations.
- Collaborate with clients to translate requirements into working software.
- Contribute to technical research, prototyping, and proof-of-concept development to support client proposals.
Internal Development & Enablement
- Develop internal AI tools, accelerators, and reusable components.
- Explore and evaluate emerging AI technologies, frameworks, and development approaches.
- Support adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team.
- Help shape product strategy by identifying opportunities to package and position AI solutions.
- Participate in knowledge sharing, internal training, and capability building within the AI & Data Innovation team.
Requirements
- Solid full-stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI.
- Hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps).
- Demonstrable ability to learn new technologies quickly and apply them practically.
- Strong problem-solving mindset with attention to code quality and engineering rigour.
- Comfortable working independently while contributing to a collaborative small team environment.
- Excellent communication skills—able to explain technical concepts to non-technical stakeholders.
Advantageous / Nice-to-have
- Experience with LLM integration, prompt engineering, or agentic AI development.
- Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor.
- Azure AI Engineer certification or equivalent practical experience.
- Understanding of MCP, RAG architectures, or vector databases.
Working Pattern
- Location preference: Reading (strong preference), Manchester or Leeds. Hybrid working available.
- Hours: Monday to Friday, 37.5 hours per week.
Benefits (selected)
- Access to BCN Academy training and development.
- Competitive salary and career progression.
- 23 days holiday (increasing with service) plus bank holidays and an extra day off on your birthday; option to buy more.
- Company pension scheme and life assurance.
- Health cash plan with Employee Assistance Programme (EAP).
- 2 paid volunteer days per year.
- Cycle to work, electric vehicle, home & tech schemes, and retail discounts.
- Free on-site gym at Manchester and Leeds locations.
- Social events, Beer and Pizza Fridays, and long service recognition.