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: Build multi-turn agents that adapt and chain AI skills and APIs.
- Trigger Management: Configure message data scheduled and webhook triggers.
- Automation Workflow: Design workflows with Power Automate for task automation.
- Flow Design: Create logical scalable flows for complex business processes.
- Tool Integration: Use Copilots built-in connectors to integrate enterprise apps and services seamlessly.
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 i...
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: Build multi-turn agents that adapt and chain AI skills and APIs.
- Trigger Management: Configure message data scheduled and webhook triggers.
- Automation Workflow: Design workflows with Power Automate for task automation.
- Flow Design: Create logical scalable flows for complex business processes.
- Tool Integration: Use Copilots built-in connectors to integrate enterprise apps and services seamlessly.
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