Like Minded People
Work Together

Back to Career

Sr. Azure Generative AI Engineer / Consultant

Location: Gurgoan

Work Experience: 8+ Years

Requirements:

  • 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.
  • Implement LLM-powered solutions leveraging Azure OpenAI Service.
  • Build Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector-based search capabilities.
  • Develop scalable backend services and APIs using Azure App Services or related Azure compute services.
  • Integrate Generative AI solutions with enterprise applications and data platforms.
  • Optimize AI models and prompts to improve accuracy, performance, and cost efficiency.
  • Collaborate with data scientists, architects, and developers to deliver end-to-end AI-driven solutions.
  • Ensure solutions follow security, governance, and compliance standards within the Azure environment.
  • Monitor and maintain AI services for reliability, scalability, and performance.
  • Stay up to date with the latest Generative AI and Azure AI platform advancements.