AI Engineer – Generative AI & Agentic AI

Role Overview

We are looking for a highly skilled AI Engineer with strong hands-on experience in Generative AI, Large Language Models (LLMs), Agentic AI, RAG, and Azure AI technologies. The ideal candidate should be a strong Python developer who can design, develop, optimize, and deploy AI-powered applications from concept to production.

Responsibilities

• Design and develop scalable Generative AI and Agentic AI solutions using LLMs and modern AI frameworks.
• Build AI applications using OpenAI APIs, AutoGen, RAG, and MCP.
• Develop intelligent agents and multi-agent workflows for enterprise use cases.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines.
• Integrate AI solutions with Azure AI Services, Azure Cosmos DB, and other Azure services.
• Develop high-quality, maintainable and scalable solutions using Python.
• Take AI applications through the complete development lifecycle including testing, deployment, and monitoring.
• Optimize AI applications for latency, throughput, scalability, and resource utilization.

Requirements

• 4–6 years of experience in AI/Software Engineering.
• Strong hands-on experience with LLMs and Generative AI.
• Proficiency in Python programming and production-grade API development.
• Hands-on experience with Microsoft Azure and Azure OpenAI.
• Practical experience with AutoGen or similar Agentic AI frameworks.
• Experience with RAG and MCP (Model Context Protocol).
• Experience working with Azure Cosmos DB or Graph databases.
• Proven track record of taking applications from development to production.

Skills

• Python
• Azure
• OpenAI
• AutoGen
• RAG

Nice to Have

• Experience with Docker and Kubernetes.
• CI/CD and DevOps practices.
• Experience with vector databases such as Azure AI Search, Pinecone, or Milvus.
• Knowledge of Azure Functions or AKS.