GenAI Engineer

GenAI Engineer

Location Santa Clara CA
Onsite Requirement Yes
Number of days onsite 5 Days

Must Have Skills
Skill 1 Design develop and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models
Skill 2 Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
Skill 3 Demonstrate advanced programming expertise particularly in Python with deep proficiency in AI-centric libraries such as TensorFlow PyTorch and Hugging Face Transformers

Good To have Skills
Skill 1 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.

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 labelling 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.