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Sr. Generative AI Developer (All W2 + H1b Transfers are workable)

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Sr. Generative AI Developer (All W2 + H1b Transfers are workable)
Centraprise

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Irving, Texas, United States
Classification symbol Information Technology
H-1B
Job posted on May 5, 2026
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Job Description:
Sr. Generative AI Developer Irving, TX / Tampa, FL / Jersey City, NJ — Hybrid (3 Days Onsite/Week) Fulltime (Permanent)
Job Description:
Core Skills:
  • Generative AI & RAG: Generative AI, Retrieval-Augmented Generation (RAG), LLMs, prompt engineering, AI solution development, enterprise AI applications, model evaluation, LLM fine-tuning.
  • Programming & API Development: Python, FastAPI, API development, scalable APIs, backend development, microservices.
  • Architecture & System Design: System architecture, distributed systems, scalable platform design, secure architecture, performance optimization.
  • Cloud Platforms: AWS, Azure, GCP, cloud-native deployments, cloud architecture.
  • Vector Databases & Retrieval Pipelines: Embedding models, vector databases, semantic search, retrieval pipelines, knowledge base integration.
  • Data Engineering & Processing: Data ingestion, preprocessing, data pipelines, large-scale data handling.
  • Containerization & DevOps: Docker, Kubernetes, CI/CD pipelines, DevOps practices.
  • Collaboration & Problem Solving: Cross-functional collaboration, troubleshooting, optimization, agile delivery.


Key Responsibilities:
  • Architect and develop enterprise-scale Generative AI applications using RAG frameworks.
  • Design scalable, secure, and high-performance AI platform architectures.
  • Develop and optimize FastAPI-based APIs for AI integrations and workflows.
  • Implement data ingestion, preprocessing, and retrieval pipelines for knowledge-driven AI systems.
  • Integrate AI solutions into enterprise platforms and operational workflows.
  • Deploy and manage AI applications on AWS, Azure, or GCP environments.
  • Perform tuning and optimization for AI models, APIs, and distributed systems.
  • Research and implement advancements in LLMs, RAG methodologies, and Generative AI technologies.

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