Temporary Retrieval Augmented Generation Jobs (NOW HIRING)

Design and implement Generative AI solutions using modern AI patterns such as Retrieval-Augmented Generation (RAG). * Develop backend APIs using Python to support AI-driven applications. * Build and ...

Hands-on experience with LLMs, LVMs, and Retrieval-Augmented Generation (RAG) * Excellent communication and collaboration skills

Job Summary : Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into ...

Job Summary : Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into ...

Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval ...

... Retrieval-Augmented Generation (RAG) applications is a strong advantage.

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Integrate with large language models (LLMs) and generative AI (GenAI) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server ...

Design and implement Generative AI solutions using modern AI patterns such as Retrieval-Augmented Generation (RAG) . * Develop backend APIs using Python to support AI-driven applications. * Build and ...

This role focuses on building Generative AI applications leveraging LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AWS Bedrock services to support intelligent, scalable business ...

GEN AI , RAG , Python We are actively hiring for a Python Developer with strong experience in RAG (Retrieval Augmented Generation) and GenAI-based systems to build intelligent, scalable AI ...

As large language models and Retrieval-Augmented Generation (RAG) technologies reshape enterprise search and knowledge discovery, we are investing in next-generation AI systems that combine ...

Focuses on implementing retrieval-augmented generation (RAG) pipelines, integrating LLMs with structured/unstructured data sources, and fine-tuning models for specific use cases. Key Skills:

Integrate with large language models (LLMs) and generative AI (GenAI) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server ...

Design, develop, and maintain robust and scalable backend systems, incorporating AI/ML capabilities (e.g., Retrieval-Augmented Generation, Large Language Model integration, Machine Learning Control ...

Develop APIs and integrate Retrieval-Augmented Generation (RAG) systems to enhance automation capabilities. * Contribute to agile development processes and provide technical expertise in LLM-based ...

The ideal candidate will possess strong expertise in Python development , LLM integration , retrieval-augmented generation (RAG) , chatbot development , workflow automation , and AI model deployment ...

This role focuses on building scalable, production-grade AI systems, leveraging advanced API development, retrieval-augmented generation (RAG), and agentic frameworks. You will work on cutting-edge ...

... retrieval augmented generation (RAG) and model context protocol (MCP)

Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications