AI Engineer

Job Title

Pay Range: $56.00hr - $61.00hr

• Deep proficiency in AI-centric libraries such as Tensor Flow, PyTorch, and Hugging Face Transformers.
• Experience architecting and implementing Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
• Experience designing, developing, and deploying Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
• Advanced programming expertise, particularly in Python.
• Ability to implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
• Experience managing data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
• Knowledge of robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.

• Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources.
• 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.
• 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.
• Build multi-turn agents that adapt and chain AI skills and APIs.
• Configure message, data, scheduled, and webhook triggers.
• Design workflows with Power Automate for task automation.
• Create logical, scalable flows for complex business processes.
• Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.

• Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development.

• AI Engineer.
• Python.
• Tensor Flow.
• PyTorch.
• Hugging Face Transformers.
• Retrieval-Augmented Generation (RAG).
• LLMs.
• Multi-modal models.
• MS Copilot Studio.
• Power Automate.
• API Integration.

• 10-12 years of experience in the field.