GenAI Engineer

Job Description:

We are seeking a highly skilled and innovative AI Engineer to join our team and lead the development of intelligent AI agents and Retrieval-Augmented Generation (RAG)-based applications. This role is ideal for someone passionate about pushing the boundaries of applied AI, with hands-on experience in building scalable, production-grade Generative AI (GenAI) systems and advanced Copilot Studio agent capabilities.

Key Responsibilities:

• Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.

• Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.

• Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.

• Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.

• Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.

• Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.

• Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.

• Agent Orchestration

• Trigger Management

• Automation Workflow

• Flow Design: Create logical, scalable flows for complex business processes.  

• Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.