Temporary Retrieval Augmented Generation Jobs in Georgia

Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information. Integrate Google Cloud Functions for seamless ...

This role will focus on building scalable, production-grade AI solutions starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...

... Retrieval-Augmented Generation (RAG) and knowledge-grounded AI solutions • Integrate AI agents with enterprise systems via REST APIs, databases, and cloud services • Build agent memory, tool ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc. * Strong background ...

Contribute to the development and optimization of retrieval-augmented generation (RAG) systems using structured and unstructured enterprise data. • Translate Requirements: Collaborate with cross ...

Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground AI models with external data and prevent hallucinations. APIs and Integrations: The ability to ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques. * Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI ...

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Leveraging Snowflake Cortex, Snowpark, and AI coding assistants, you will build Retrieval-Augmented Generation (RAG) pipelines, semantic layers, and vector search capabilities that power our ...

Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems. * Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and ...

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software ...