Retrieval Augmented Generation Rag Jobs in Boston, MA

You'll provide technical leadership while driving the development of enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP ...

This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

You'll provide technical leadership while driving the development of enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP ...

Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search. * Experience with prompt engineering, prompt evaluation, and LLM performance optimization.

Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search. * Experience with prompt engineering, prompt evaluation, and LLM performance optimization.

Saviance is seeking an experienced Full Stack Software Product Engineer to support a cutting-edge Retrieval-Augmented Generation (RAG) project. The engineer will be responsible for cloning and ...

Build Retrieval-Augmented Generation (RAG) pipelines to improve the quality of AI-generated responses. Collaborate with various stakeholders to integrate and deploy AI models into production ...

This role will lead the design and implementation of scalable, secure, and reusable capabilities for agentic AI, with a strong focus on retrieval-augmented generation (RAG), orchestration frameworks ...

This role will lead the design and implementation of scalable, secure, and reusable capabilities for agentic AI, with a strong focus on retrieval-augmented generation (RAG), orchestration frameworks ...

... Retrieval-Augmented Generation (RAG) and agent-based workflows. • LLM Integration & Prompt Optimization • Work with OpenAI, Claude, Bard, Azure OpenAI, and other models. Tune prompts using ...

Understanding of LLM architectures, prompt engineering, or retrieval-augmented generation (RAG). Experience in model monitoring, drift detection, and MLOps tooling.

Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and ...

Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and ...

Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), contex management, and performance tuning. * Code Quality / Code Reviews: Write clean, maintainable, and ...

You'll help develop enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to ...

You'll help develop enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to ...

RAG & Knowledge Engineering: Develop Retrieval-Augmented Generation (RAG) pipelines that leverage Jira, Confluence, Git repositories, existing test suites, architecture documentation, API ...

RAG & Knowledge Engineering: Develop Retrieval-Augmented Generation (RAG) pipelines that leverage Jira, Confluence, Git repositories, existing test suites, architecture documentation, API ...

RAG & Knowledge Engineering: Develop Retrieval-Augmented Generation (RAG) pipelines that leverage Jira, Confluence, Git repositories, existing test suites, architecture documentation, API ...

RAG & Knowledge Engineering: Develop Retrieval-Augmented Generation (RAG) pipelines that leverage Jira, Confluence, Git repositories, existing test suites, architecture documentation, API ...