Description

Design and deploy Generative AI and Machine Learning solutions on Microsoft Azure.

This role is on-site.

Responsibilities

• Build Generative AI applications using Azure OpenAI Service, GPT models, and Retrieval-Augmented Generation (RAG) architectures.
• Develop AI-powered chatbots, virtual assistants, document intelligence solutions, and automation workflows.
• Implement prompt engineering strategies and optimize LLM performance.
• Build and maintain vector search solutions using Azure AI Search and vector databases.
• Integrate AI services with enterprise applications through REST APIs and microservices.

Required Skills

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
• 3+ years of experience in AI/ML development or software engineering.
• Strong proficiency in Python and object-oriented programming.
• Hands-on experience with Microsoft Azure cloud services, including Azure OpenAI Service, Azure AI Studio, and Azure AI Search.
• Experience developing Retrieval-Augmented Generation (RAG) applications.
• Knowledge of Azure Machine Learning for model training and deployment.
• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
• Proficiency with SQL and NoSQL databases.
• Experience using Git, Azure DevOps, or GitHub for version control and CI/CD.

Preferred Skills

• Experience with Docker, Kubernetes, and containerized deployments.
• Strong understanding of microservices and cloud-native application development.

Key Skills

Education

Bachelor's or Master's degrees