Retrieval Augmented Generation Jobs in Massachusetts

Key initiatives include intelligent research tools, retrieval-augmented generation systems, large language model applications, and production-ready autonomous workflows. You will also help set ...

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 ...

W2/C2C 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 ...

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.

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 ...

... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...

Build and optimize sophisticated Retrieval-Augmented Generation (RAG) systems that accurately pull from vast clinical and regulatory data sources to assist in document creation. * Engineer the data ...

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 ...

Build and optimize sophisticated Retrieval-Augmented Generation (RAG) systems that accurately pull from vast clinical and regulatory data sources to assist in document creation. * Engineer the data ...

Build and optimize sophisticated Retrieval-Augmented Generation (RAG) systems that accurately pull from vast clinical and regulatory data sources to assist in document creation.* Engineer the data ...

The project will build an open-source pipeline using large language models, retrieval-augmented generation, and software-testing methods to generate, prioritize, implement, and continuously run ...

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 ...

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

Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision ...

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

Design scalable AI solutions using Gemini enterprise Agent Platform, Gemini models, Agent Development Kit (ADK), Agent Engine, Vertex AI Search, Vector Search, Retrieval-Augmented Generation (RAG ...