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Senior Generative AI Developer

United States, Irving, TX / Tampa, FL / Jersey City, NJ 100.00 USD / Hour · Job Posted March 21, 2026
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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.

Job Responsibility

  • 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
  • Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies

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

Nice to have

  • Experience with LLM fine-tuning, prompt engineering, and model evaluation
  • Knowledge of containerization (Docker) and orchestration (Kubernetes)
  • Exposure to CI/CD pipelines and DevOps practices

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