Hands-on experience in software development, cloud engineering, or AI-based solutions.
Strong hands-on experience with the Microsoft Azure cloud platform.
Experience building Generative AI applications using Azure OpenAI Service.
Experience implementing RAG architectures using Azure AI Search.
Hands-on experience with Azure App Services, APIs, and cloud-native application development.
Strong programming experience with Python, C#, or JavaScript.
Experience working with REST APIs, microservices, and cloud-based architectures.
Understanding of prompt engineering, LLM integration, and AI model orchestration.
Familiarity with Git, CI/CD pipelines, and DevOps practices.
Experience with LangChain, Semantic Kernel, or similar LLM orchestration frameworks.
Knowledge of vector databases and embeddings.
Experience with Azure Functions, Azure Kubernetes Service (AKS), or containerized deployments.
Familiarity with data pipelines and data engineering workflows.
Azure certifications, such as Azure AI Engineer Associate or Azure Solutions Architect.
Qualifications:
Bachelor’s degree in computer science, Engineering, Information Systems, or related technical field (or equivalent practical experience).
Job Description:
Design and develop Azure-native Generative AI applications using Azure AI services.