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HEXAWARE

Python Cloud Native Lead

HEXAWARE United States

IT Services and IT Consulting · 10,001+ employees

8 h ago
python Senior (5-10 yrs) Full-time United States
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About the role

Architect and implement RAG pipelines and custom AI agents using LLMs and multi-modal models. Manage data pipelines and design automated workflows using Power Automate and MS Copilot Studio.

What they look for

Python TensorFlow PyTorch Hugging Face Transformers RAG Generative AI LLMs MS Copilot Studio Power Automate Data Pipelines Agent Orchestration Prompt Engineering Data Pre-processing Synthetic Data Generation API Integration

Requirements

Requires advanced programming expertise in Python and proficiency with AI-centric libraries like TensorFlow and PyTorch. Candidates must have experience in designing scalable AI workflows and integrating enterprise applications.

Full description

Role/Title: Data Scientist / AI Developer

Location: Santa Clara, CA

Onsite/Remote/Hybrid: Onsite

Duration: Long-term

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.

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