Gen AI Developer

United Software Group, Inc.
Irving, United States of America
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Irving, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Databases
Python
Performance Tuning
Software Engineering
Google Cloud Platform
Cloud Platform System
Data Ingestion
Generative AI
FastAPI
Api Design
Data Pipelines

Job description

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development., Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.

Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.

Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.

Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.

Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.

Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).

Conduct performance tuning and optimization of AI models and APIs.

Requirements

  • 8+ years of professional experience in software development and system design.
  • Strong proficiency in Python and experience with FastAPI for API development.
  • Hands-on experience with Generative AI frameworks and RAG architectures.
  • Solid understanding of system and architecture design principles for distributed applications.
  • Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
  • Familiarity with vector databases, embedding models, and retrieval pipelines.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

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