Description

You will develop and deploy AI applications focusing on cloud-based model integration and optimization.

Responsibilities

• Develop hands-on AI applications utilizing cloud-based model integration.
• Implement and optimize AI models within cloud environments.
• Apply advanced AI architecture patterns such as RAG, Agentic RAG, MCP, Functional Calling, and A2A in Azure.
• Engineer prompts and contexts, managing vector databases and embedding/chunking strategies.
• Evaluate and optimize the output from deployed AI models.

Required Skills

• 5+ years of experience in AI application development.
• Proficiency in Python and Java.
• Hands-on experience with Spring AI and LangChain.
• Familiarity with LangGraph, LlamaIndex, Agno, and PyDantic.
• Experience with TensorFlow for model implementation.
• Knowledge of Azure AI services, including Azure OpenAI and Azure AI Search.
• Skills in prompt engineering and context engineering.
• Experience integrating real-time data sources into AI workflows.

Key Skills

Education

Any Gradute