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Azure GenAI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure GenAI Engineer on a contract of unspecified length, offering competitive pay. Key skills include Python for agent-based app development, prompt engineering, AI/ML model development, and proficiency in Azure Cloud Services and related frameworks.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Monitoring #FastAPI #Python #Image Processing #AI (Artificial Intelligence) #Azure #SQL (Structured Query Language) #Azure cloud #Docker #SonarQube #Pytest #SQL Server #Databases #Cloud #Langchain #ML (Machine Learning)
Role description
We’re looking for an experienced Azure GenAI Engineer to build and scale intelligent, agent-based applications in a cutting-edge cloud environment. You’ll work hands-on with Azure’s AI stack, modern frameworks, and production-ready pipelines to deliver real business impact.
Key Skills (Must-Have):
• Agent-based GenAI app development using Python
• Prompt engineering and FastAPI
• AI/ML model development
• RAG (Retrieval-Augmented Generation) with Vector Databases
• Strong understanding of Azure Cloud Services, Azure AI Search, and ADI (text, table & image processing)
• Proficiency with LangGraph and LangChain frameworks
Nice to Have:
• Experience with SQL Server, Docker, CI/CD pipelines, SonarQube, PyTest
• Monitoring and optimisation of production AI apps
We’re looking for an experienced Azure GenAI Engineer to build and scale intelligent, agent-based applications in a cutting-edge cloud environment. You’ll work hands-on with Azure’s AI stack, modern frameworks, and production-ready pipelines to deliver real business impact.
Key Skills (Must-Have):
• Agent-based GenAI app development using Python
• Prompt engineering and FastAPI
• AI/ML model development
• RAG (Retrieval-Augmented Generation) with Vector Databases
• Strong understanding of Azure Cloud Services, Azure AI Search, and ADI (text, table & image processing)
• Proficiency with LangGraph and LangChain frameworks
Nice to Have:
• Experience with SQL Server, Docker, CI/CD pipelines, SonarQube, PyTest
• Monitoring and optimisation of production AI apps
