Role: AI Engineer(23537-1)
Duration: 6-12+ Months Contract
Location: Santa Clara, CA (5 Days Onsite)
Must Have Skills
Skill 1 - Deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
Skill 2 - Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
Skill 3 - Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
Good To have Skills -
Skill 1 - Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development.
About the Role:
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 Copilot''s built-in connectors to integrate enterprise apps and services seamlessly.