Entry Level Retrieval Augmented Generation Jobs in California

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

... Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities • Applying Machine Learning technologies for anomaly detection Minimum Qualifications Bachelor's degree in ...

... Retrieval-Augmented Generation) architecture * - Hands-on experience on designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel and AutoGen. * - Having experience in ...

... building Retrieval-Augmented Generation (RAG) pipelines • Knowledge of semantic layers and knowledge graphs for structured reasoning • Proficient in Python and FastAPI for backend and API ...

Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning. * Familiarity with SLMs: model design and fine ...

Research and experiment with novel techniques, including reinforcement learning, retrieval-augmented generation, and autonomous reasoning * Work in a collaborative, high-impact team, translating ...

The ideal candidate should have a profound expertise in one or more areas including but not limited to Retrieval Augmented Generation (RAG), post-training of foundation models and LLM inference ...

You will build and fine-tune Retrieval-Augmented Generation (RAG) pipelines, Agentic AI pipelines ... entry level experience * For Level 3 consideration: Bachelor's degree in Computer Science or ...

The ideal candidate should have a profound expertise in one or more areas including but not limited to Retrieval Augmented Generation (RAG), post-training of foundation models and LLM inference ...

Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

This is an AI-native software engineering role: you will spend your time building multi-agent orchestration systems, retrieval-augmented generation pipelines, tool-use frameworks, and knowledge graph ...

This is an AI-native software engineering role: you will spend your time building multi-agent orchestration systems, retrieval-augmented generation pipelines, tool-use frameworks, and knowledge graph ...

Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.

Support implementation of retrieval-augmented generation workflows, including document chunking, metadata handling, vector embeddings, semantic search, and citation-enabled response generation.

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...

Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG). * Experience deploying AI models to production environments. * Strong understanding of data ...

Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis * Collaborate with materials scientists, computational chemists ...

The ideal candidate should have hands-on expertise with Retrieval-Augmented Generation (RAG), Agentic AI workflows, and LLM-based automation, with the ability to integrate AI systems into complex ...