ESI Digi Tech GV ATLAS Professional

Job Summary

Generative AI Developer with 3-9 years of experience in designing, developing, and deploying AI-powered applications. The candidate should have hands-on experience with LLMs, RAG, prompt engineering, and AI agents using frameworks such as LangChain, Semantic Kernel, or LlamaIndex. Strong proficiency in Python, API integration, vector databases, and cloud platforms (Azure/AWS/GCP) is required. Experience with OpenAI, Azure OpenAI, Hugging Face, and modern AI application architectures is highly desirable. The role involves collaborating with cross-functional teams to build scalable, secure, and production-ready GenAI solutions while ensuring performance, governance, and responsible AI practices.

Generative AI Developer with 3-5 years of experience in designing, developing, and deploying AI-powered applications. The candidate should have hands-on experience with LLMs, RAG, prompt engineering, and AI agents using frameworks such as LangChain, Semantic Kernel, or LlamaIndex. Strong proficiency in Python, API integration, vector databases, and cloud platforms (Azure/AWS/GCP) is required. Experience with OpenAI, Azure OpenAI, Hugging Face, and modern AI application architectures is highly desirable. The role involves collaborating with cross-functional teams to build scalable, secure, and production-ready GenAI solutions while ensuring performance, governance, and responsible AI practices.

Key Skills

• LLMs
• RAG
• prompt engineering
• AI agents
• LangChain
• Semantic Kernel
• LlamaIndex
• Python
• API integration

Responsibilities

• Collaboration with cross-functional teams to build scalable, secure, and production-ready GenAI solutions while ensuring performance, governance, and responsible AI practices.