Summer Retrieval Augmented Generation Jobs (NOW HIRING)

Prompt engineering, Model evaluation, Retrieval-Augmented Generation (RAG) • Experience working on enterprise-scale or customer-facing systems is a plus. Preferred : • Experience with NLP for ...

Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks. * Build scalable APIs, microservices, and integrations supporting ...

You will lead Retrieval-Augmented Generation (RAG) and knowledge-retrieval initiatives that support a variety of business functions. You will partner cross-functionally with business leaders, IT ...

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

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

You will lead Retrieval-Augmented Generation (RAG) and knowledge-retrieval initiatives that support a variety of business functions. You will partner cross-functionally with business leaders, IT ...

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

Build Retrieval-Augmented Generation (RAG) and LLM-powered workflows to enhance analytical processes * Collaborate directly with mission customers to understand datasets and develop tailored, AI ...

Designing and implementing Retrieval-Augmented Generation (RAG) solutions and evaluating LLM performance. * Developing REST APIs and FastAPI services for AI-enabled applications. * Building and ...

Responsibilities : • Design and build scalable and production-grade generative AI systems. • Develop, fine-tune, and evaluate LLMs • Integrate LLMs with Retrieval-Augmented Generation (RAG ...

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:

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 ...

Designing and implementing Retrieval-Augmented Generation (RAG) solutions and evaluating LLM performance. * Developing REST APIs and FastAPI services for AI-enabled applications. * Building and ...

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies? About our Team LexisNexis Legal ...

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 ...

Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced information retrieval and generation. * Design and implement efficient vector-based search solutions for semantic ...

Architect and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and AI agent capabilities to solve core mission problems * Develop backend services, APIs, and data ...

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies? About our Team LexisNexis Legal ...

You will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG), world knowledge understanding, conversational reasoning, knowledge generation and ...