Generative AI Engineer

Introduction:

The Generative AI Engineer will be responsible for developing and implementing Generative AI solutions using various technologies such as LLMs, RAG, Prompt Engineering, AI Agents, LangChain/LangGraph, Semantic Kernel, and vector databases. The role will involve working on backend development, data engineering, API integration, database design, scalability, security, and performance optimization.

Responsibilities:

• Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph.
• Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.
• Work on database design, scalability, security, and performance optimization for AI applications.
• Create REST APIs and Microservices for backend development using Python, Node.js, and Java.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Utilize MongoDB and Azure Data Services for data storage and management.

Requirements:

Required Skills:

• Strong experience in building Generative AI solutions.
• Proficiency in technologies like LangChain, Generative Artificial Intelligence (AI), and Prompt Engineering.
• Knowledge of MongoDB for data storage.
• Experience in performance tuning and database design.
• Understanding of semantics in AI applications.

Preferred Skills:

• Experience with React, Angular, TypeScript, JavaScript, HTML5, and CSS3.
• Familiarity with modern UI frameworks.
• Expertise in Python, ETL, and Azure AI Search.
• Backend development skills using Python, Node.js, and Java.