Retrieval Augmented Generation Rag 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 ...

... Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration. This role is ideal for someone who thrives in bridging software engineering and applied AI-turning ...

Hands-on experience implementing embeddings and vector search for semantic retrieval within retrieval-augmented generation (RAG) architectures. * Understanding of Docker for application and workload ...

Hands-on experience implementing embeddings and vector search for semantic retrieval within retrieval-augmented generation (RAG) architectures. * Understanding of Docker for application and workload ...

Hands-on experience implementing embeddings and vector search for semantic retrieval within retrieval-augmented generation (RAG) architectures. * Understanding of Docker for application and workload ...

Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models. * Implement prompt engineering, prompt optimization, evaluation, and LLM performance tuning.

Build scalable solutions leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agents. * Develop and optimize multi-step AI workflows ...

You'll work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents. What You'll Do

Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, LangGraph, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems * Vector Databases: Pinecone, Amazon ...

Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, LangGraph, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems * Vector Databases: Pinecone, Amazon ...

Leverage Retrieval-Augmented Generation (RAG), fine-tuning, and traditional ML techniques to develop hybrid AI models that address engineering challenges. * Continuous Improvement: Identify and ...

Develop and optimize prompts, fine-tune models, and implement retrieval-augmented generation (RAG) architectures * Create custom copilots and AI assistants tailored to specific business workflows and ...

Preferred : • Experience applying large language models (LLMs) for retrieval-augmented generation (RAG) for technical problems. • Proficiency in Python, C/C++, Java, or similar. • United States ...

Retrieval-Augmented Generation (RAG) * ASR frameworks: OpenAI Whisper, Meta Wave2Vec-BERT * Hugging Face exporters and Swift-based transformer tooling * Accent-adaptive tuning and speech ...

You will modernize them using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic systems. These solutions will be put into production using our proprietary private ...

Research experience in agentic AI, large language models (LLMs), retrieval-augmented generation (RAG), AI memory systems, or long-context reasoning. * Experience developing, fine-tuning, or ...

Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...

Familiarity with Retrieval-Augmented Generation (RAG) patterns, embedding models, vector databases, and semantic search techniques to ground AI outputs in enterprise content. Experience working with ...

... language models, retrieval-augmented generation, and software-testing methods to generate ... LLM/RAG test-generation pipeline. Design, implement, and iterate prompts, retrieval workflows ...

Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources * Familiarity with Agentic AI ...