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Retrieval Augmented Generation Rag Jobs in New York

Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution. * Establish best practices ...

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

AI Developer

Manhattan, NY · On-site

$115K/yr

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help ...

AI Technical Architect

Hoboken, NJ · On-site

$72.50 - $87.50/hr

Mastery of deep learning frameworks like PyTorch or TensorFlow, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. Cloud & Infrastructure: Experience with cloud ...

New

Staff Software Engineer

Hoboken, NJ · On-site

$150K - $180K/yr

Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI ...

Staff Software Engineer

Hoboken, NJ · On-site

$150K - $165K/yr

Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI ...

Staff Software Engineer

Hoboken, NJ · Hybrid

$150K - $180K/yr

Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI ...

Staff Software Engineer

Hoboken, NJ · Hybrid

$150K - $165K/yr

Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI ...

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system * Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI solutions using AWS ...

Retrieval-Augmented Generation (RAG) * Embeddings * Prompt Engineering * Semantic Search * Vector Databases * Experience working with one or more of the following: * OpenAI * Azure OpenAI * AWS ...

Showing results 21-40

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Gen AI Architect

Noblesoft Technologies

Jersey City, NJ • On-site

Contractor

Re-posted 15 days ago


Job description

Title: GEN AI Architect 

Location - NJ - onsite

Job Description 

Responsibilities:  

  • Lead the architectural design and implementation of scalable, generative AI-powered solutions for business automation, leveraging both Azure and Google Cloud platforms.  

  • Architect end-to-end AI model workflows, utilizing Azure AI, and Google AI tools. Focus will be on applications involving complex document intelligence, multi-modal data analysis, and advanced image processing tasks.  

  • Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution.  

  • Establish best practices for prompt engineering and iterative refinement to maximize the accuracy and relevance of outputs across diverse data types.  

  • Collaborate with cross-functional teams (engineering, data science, business) to translate complex business requirements into robust, scalable AI component designs.  

  • Champion the integration of the client's proprietary generative AI tools into the architecture and development lifecycles.  

  • Direct the implementation of robust API management strategies using Apigee for secure and efficient access to AI models and related services.  

  • Ensure all solution designs adhere to stringent data governance policies and use cloud-native security mechanisms and compliance tools.  

  • Provide architectural guidance and design patterns for leveraging generative AI within critical business processes like License Audit and Product Approval, emphasizing scalable and verifiable outcomes.  

  • Establish and automate DevOps pipelines for model deployment, testing and iterative enhancements.  

Skills:  

  • Deep expertise with Azure AI services (including Cognitive Services) and Google Cloud AIML platform.  

  • Extensive knowledge and practical experience with document processing using Azure Document Intelligence and alternative OCR technologies.  

  • Mastery of Snowflake for data modeling, warehousing, and integrating with advanced analytics workflows.  

  • Proficiency with cloud orchestration tools, like GKE Scheduler, and asynchronous communication services (e.g., Google PubSub).  

  • Advanced expertise in API management using Apigee and related security best practices.  

  • Proven ability to design and implement Kubernetes-based AI model deployments, including model optimization techniques.  

  • Strong command of Python for development and automation tasks.  

  • Demonstrated experience converting business needs into scalable and maintainable technical designs.  

  • Experience working with and extending custom Generative AI tooling.  

  • Deep understanding of Retrieval Augmented Generation (RAG) concepts and its applications.