GenAI Engineer

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.

Qualifications

Required:

• Highest degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• At least 5 years of relevant work experience in AI engineering, machine learning, or related fields.
• Experience with Generative AI technologies and tools, including but not limited to TensorFlow, PyTorch, Hugging Face Transformers, and Copilot Studio.
• Strong understanding of natural language processing (NLP), computer vision, and multimodal learning.
• Proven ability to design, develop, and deploy scalable AI systems in production environments.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Experience with data preprocessing, augmentation, and synthetic data generation techniques.
• Knowledge of data structures, algorithms, and software engineering best practices.
• Experience with version control systems like Git.

Skills

• Python programming
• TensorFlow, PyTorch, and Hugging Face Transformers
• Retrieval-Augmented Generation (RAG)
• Custom AI agents
• Data pipelines and data handling
• MS Copilot Studio Agent Builder
• Complex algorithm implementation
• Machine learning frameworks
• Enterprise integration and automation