Entry Level Retrieval Augmented Generation Jobs in California

The ideal candidate will have hands-on experience building scalable full-stack solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases ...

... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...

Retrieval-Augmented Generation (RAG) architectures * Vector database experience * Semiconductor or manufacturing domain knowledge

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

... RAG (Retrieval-Augmented Generation) techniques. • Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. • Familiarity with ...

RAG (Retrieval Augmented Generation), Function Calling/Tools, Langchain, Vector databases • Clear articulation of contributions: Candidates should be able to explain their involvement and impact in ...

Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...

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

Familiarity with concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, AI memory, or model evaluation is a plus. * Exposure to AI frameworks, libraries, APIs, or ...

Expertise 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 ...

Build and optimize Retrieval-Augmented Generation (RAG) solutions, including document ingestion, indexing, embeddings, vector search, reranking, retrieval optimization, grounding, and evaluation ...

Build and optimize Retrieval-Augmented Generation (RAG) solutions, including document ingestion, indexing, embeddings, vector search, reranking, retrieval optimization, grounding, and evaluation ...

Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...

You will guide clients toward the best approaches--such as Retrieval-Augmented Generation (RAG), agents, or fine-tuning--for optimized and cost-effective impact. Beyond prompt creation, you will be ...

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 ...

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 ...

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