Summer Retrieval Augmented Generation Jobs (NOW HIRING)

Gen AI Lead - RAG (Retrieval-Augmented Generation) Specialist We are looking for a highly skilled Gen AI Lead specializing in Retrieval-Augmented Generation (RAG) to join our AI team in Pleasanton ...

Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You ...

The ideal candidate should have hands-on experience designing scalable data platforms while building AI-powered applications using RAG (Retrieval-Augmented Generation), LangChain, LangGraph, LLMs ...

Design and implement Retrieval-Augmented Generation (RAG) architectures utilizing vector databases and semantic search techniques. Build agentic AI applications leveraging multi-agent frameworks ...

... Retrieval-Augmented Generation (RAG), and Agentic AI models. Key Responsibilities • Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG ...

Hands-on experience building RAG (Retrieval-Augmented Generation) solutions * LangChain * LangGraph * OpenAI / Azure OpenAI / Anthropic Claude / Gemini APIs * Prompt Engineering * AI Agents / Multi ...

The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a ...

Responsibilities : • Building production-ready AI services and APIs using Python • LLM integration • Prompt engineering frameworks • RAG (Retrieval-Augmented Generation) pipelines • Vector ...

Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...

AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...

Build Retrieval-Augmented Generation (RAG) pipelines using embeddings, semantic search, vector databases, chunking strategies, reranking, response grounding, and citation mechanisms. * Fine-tune and ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...

Working under the guidance of senior engineers, the role assists with developing and maintaining enterprise AI models, retrieval-augmented generation (RAG) systems, and agentic workflows. The AI ...

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

The role focuses on building Retrieval-Augmented Generation (RAG) pipelines, integrating Large Language Models (LLMs) into enterprise applications, and ensuring performance, security, and cost ...

Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...

Retrieval-Augmented Generation (RAG) * Enterprise AI Integration Must-Have Skills * Python & Backend Development * LLM / Generative AI Application Development * Agent-Based AI Systems * RAG, Vector ...

Build Retrieval-Augmented Generation (RAG) systems using semantic search and vector databases * Integrate OpenAI, Anthropic, and other LLM APIs using function calling, structured outputs, and ...