Azure GenAI engineer
Posted 1 week ago by Xcede
Negotiable
Undetermined
Undetermined
London, England, United Kingdom
Summary: The Azure GenAI Engineer role involves developing and scaling intelligent, agent-based applications within a cloud environment using Azure's AI stack. The position requires hands-on experience with modern frameworks and production-ready pipelines to achieve significant business outcomes. The ideal candidate will possess a strong background in AI/ML model development and prompt engineering. This role is pivotal in leveraging advanced technologies to enhance application performance and functionality.
Key Responsibilities:
- Develop and scale agent-based GenAI applications using Python.
- Implement prompt engineering and utilize FastAPI for application development.
- Engage in AI/ML model development and RAG with Vector Databases.
- Utilize Azure Cloud Services, Azure AI Search, and ADI for text, table, and image processing.
- Work with LangGraph and LangChain frameworks for application enhancement.
- Monitor and optimize production AI applications.
- Collaborate on CI/CD pipelines and utilize tools like SonarQube and PyTest.
Key Skills:
- Agent-based GenAI app development using Python.
- Prompt engineering and FastAPI proficiency.
- AI/ML model development experience.
- RAG with Vector Databases knowledge.
- Strong understanding of Azure Cloud Services and Azure AI Search.
- Proficiency with LangGraph and LangChain frameworks.
- Experience with SQL Server, Docker, CI/CD pipelines, SonarQube, and PyTest.
- Monitoring and optimization skills for production AI applications.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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