Applied AI Engineer 
Agentic AI | Azure | Python | Workflow Automation 
Build AI that improves real operations  
We are looking for an AI Automation Engineer to turn promising AI use cases into secure, reliable production solutions. You will help build a reusable automation platform connecting AI models, workflows, people, and enterprise systems.  
What you will do 
  • Build AI agents and automated workflows for operational processes. 
  • Develop reusable Python services, APIs and Azure Functions. 
  • Work with Microsoft Foundry / Azure AI and enterprise LLMs. 
  • Orchestrate workflows using n8n or similar technologies. 
  • Integrate AI solutions with Microsoft 365, APIs, databases, and business applications. 
  • Implement structured outputs, RAG, tool calling, and human-in-the-loop controls. 
  • Build security, monitoring, testing, auditability, and CI/CD from the start. 
  • Turn prototypes into governed services that teams can use and scale. 
What you bring 
Strong software-engineering fundamentals and hands-on experience across several of these areas: 
  • Python, REST APIs, JSON and automated testing 
  • Azure Functions, Storage, Key Vault and Application Insights 
  • Microsoft Entra ID, Managed Identity and Azure RBAC 
  • LLM APIs, structured outputs, RAG and agent orchestration 
  • Workflow automation and enterprise integration 
  • Git, CI/CD, logging and operational monitoring 
You do not need to tick every box. We care most about your ability to combine AI, software engineering and automation to deliver dependable systems. 
What success looks like 
You help us move from individual AI experiments to a reusable platform on which teams can rapidly deliver secure, governed production workflows. 
If you enjoy making AI do useful work, rather than simply building demonstrations, we would like to hear from you.