Entrylevel Retrieval Augmented Generation Jobs in Milpitas, CA

... 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 ...

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

Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management. * Ensure agent reliability, safety, and governance by establishing robust guardrails ...

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 ...

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 ...

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 ...

... 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 ...

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 ...

... 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 ...

Design, develop, and deploy AI-driven solutions leveraging Retrieval-Augmented Generation (RAG), large language models (LLMs), and vector database technologies. * Build scalable clinical document ...

... 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 ...

Build and optimize retrieval-augmented generation (RAG) systems. * Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. * Help shape the ...

Build and optimize retrieval-augmented generation (RAG) systems. * Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. * Help shape the ...

Build and optimize retrieval-augmented generation (RAG) systems. * Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. * Help shape the ...

Working with vector databases, retrieval-augmented generation, or reinforcement learning. Prior forward deployed / field engineering / solutions architect roles. The base salary range for this role ...

Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation. * Familiarity with MLOps tools (MLflow, Kubeflow, or similar). * Knowledge of prompt engineering ...

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 ...

... retrieval-augmented generation) pipelines. • Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and ...