Description

You will design, build, and deploy generative AI solutions using Azure AI Foundry, Azure OpenAI, and Microsoft Fabric. You own the end-to-end lifecycle from model experimentation to production MLOps.

This role is on-site.

Responsibilities

• Develop GenAI applications using LangChain, Semantic Kernel, and crewAI.
• Implement RAG architectures and optimize LLM performance.
• Build and maintain scalable microservices and APIs.
• Manage MLOps pipelines, Docker containers, and CI/CD workflows.
• Integrate AI models with MySQL and other data sources.

Required Skills

• 8–10 years of experience in AI engineering.
• Expert proficiency in Python.
• Hands-on experience with Azure AI Foundry, Azure OpenAI, and Microsoft Fabric.
• Strong background in Generative AI, LLMs, and RAG patterns.
• Proficiency with LangChain, Semantic Kernel, and crewAI.
• Experience with Azure ML, MLOps, Docker, and CI/CD.
• Familiarity with TensorFlow, PyTorch, Scikit-learn, APIs, Microservices, and MySQL.

Preferred Skills

• Azure AI Engineer Associate or Azure AI Apps & Agents Developer Associate Certification.

Bachelor's degree required.

Key Skills

Education

Bachelor's degree