GenAI Engineer Santa Clara, CA; onsite

GenAI Engineer

Location Santa Clara, CA

Onsite Requirement Yes (5 Days onsite)

We are seeking a highly skilled and innovative AI Engineer to 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.

• Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as Tensor Flow, 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.
• 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.
• Integrate enterprise apps and services seamlessly using Copilot's built‑in connectors.

• 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.
• Advanced programming expertise, particularly in Python, with deep proficiency in AI‑centric libraries such as Tensor Flow, PyTorch, and Hugging Face Transformers.

• 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.

Entry level

Full‑time

Engineering and Information Technology

Industry: Software Development