Summer Retrieval Augmented Generation Jobs (NOW HIRING)

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:

Retrieval-Augmented Generation (RAG) * Ensure performance, scalability, and reliability of AI systems Agent Development & Orchestration * Program and orchestrate multi-agent systems * Build custom ...

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 ...

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

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

This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

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

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

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

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) applications is a strong advantage. * 2+ yrs of Large Language Models (LLMs) or Small Language Models (SMLs)

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 ...

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 ...

... retrieval-augmented generation), model orchestration, prompt engineering, structured output, and agentic workflow techniques to enable reliable AI-assisted notification generation. * Translate ...

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

Familiarity with transformers, LLMs, and Retrieval-Augmented Generation (RAG) pipelines using vector databases. 6. Automation Development: Creating AI-powered automation solutions, including Einstein ...

The ideal candidate will have strong skills in Python, React.js, Retrieval-Augmented Generation (RAG ), and hands-on experience with LangChain and LangGraph frameworks. You will be responsible for ...

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data. This track focuses on building high-performance ML systems that process complex data ...