Retrieval Augmented Generation Jobs (NOW HIRING)

Familiarity with large language models and retrieval-augmented generation techniques, including experience with LLM APIs and retrieval systems. Experience with data retrieval and indexing: Experience ...

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 ...

Responsibilities : • Lead onboarding of business applications onto the enterprise AI platform. • Design and implement Retrieval-Augmented Generation (RAG) architectures. • Act as the primary ...

... Retrieval-Augmented Generation) implementations • LangChain, LlamaIndex, OpenAI, Azure OpenAI, Anthropic, or similar frameworks • API development using FastAPI, Flask, or Django • Strong SQL ...

... Retrieval-Augmented Generation (RAG)

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 ...

... Retrieval Augmented Generation (RAG), cyber capabilities, and signals intelligence systems. Qualifications & Compensation: Degree: Technical bachelor's degree or equivalent experience Years of ...

... Retrieval Augmented Generation (RAG), cyber capabilities, and signals intelligence systems. Qualifications & Compensation: Degree: Technical bachelor's degree or equivalent experience Years of ...

Develop and optimize Retrieval-Augmented Generation workflows by implementing semantic search with vector databases and designing customized reranking approaches to improve context relevance and ...

This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations. Requirement ...

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:

Integrate with large language models (LLMs) and generative AI (GenAI) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server ...

Hands-on experience with LLMs, LVMs, and Retrieval-Augmented Generation (RAG) * Excellent communication and collaboration skills

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

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

... retrieval augmented generation (RAG) and model context protocol (MCP)

Knowledge of LLMs, AI agents, and Retrieval-Augmented Generation (RAG) frameworks. Responsibilities: * Design, develop, and maintain scalable microservices using Core Java and Spring Boot. * Build ...

Evaluation frameworks Retrieval-Augmented Generation (RAG

This role focuses on building Generative AI applications leveraging LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AWS Bedrock services to support intelligent, scalable business ...

As large language models and Retrieval-Augmented Generation (RAG) technologies reshape enterprise search and knowledge discovery, we are investing in next-generation AI systems that combine ...