GenAI Applications Engineer – Hybrid (Cambridge)

Mundipharma International; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Mundipharma International is seeking an AI Accelerated Applications Engineer to join the Data & AI team in Cambridge on a hybrid basis. You will help design, deliver, and support AI applications and agents, staying current with GenAI developments and embedding AI into solutions for business impact.

You will collaborate with senior leaders and technology experts, delivering production-ready code using AI coding tools and Azure-based deployments.

Qualifications

• 2+ years of software delivery experience with hands-on practice using AI coding tools to write, review, and refactor production-ready code.
• Experience deploying applications, web portals, or containerized apps within an Azure environment (Azure Functions, Logic Apps, or DevOps).
• Strong interpersonal skills with the confidence to articulate technical concepts and engage with senior business leaders.

Responsibilities

• Governance of applications and automations to ensure alignment with Mundipharma standards and supportability.
• Research, assess and justify new tools and solutions to fulfil business and IT needs with innovative design.
• Provide advice on technical strategy focusing on architecture, lifecycle and technical excellence.
• AI-Accelerated development: contribute to delivery of AI-augmented solutions.

Skills

AI software development

Stakeholder communication

Team collaboration

Tools

GitHub Copilot

Claude Code

Cursor

Azure Functions

Logic Apps

DevOps

Job description

Mundipharma International is seeking an AI Accelerated Applications Engineer to join the Data & AI team in Cambridge on a hybrid basis. You will help design, deliver, and support AI applications and agents, staying current with GenAI developments and embedding AI into solutions for business impact.

You will collaborate with senior leaders and technology experts, delivering production-ready code using AI coding tools and Azure-based deployments.