Ai Rag Jobs in Winthrop, MA (NOW HIRING)

... AI agents, and tool-driven workflows Knowledge of RAG patterns, embedding models, vector stores, and relevance-focused retrieval techniques Familiarity with operational ML practices such as testing ...

Deep understanding of Generative AI, RAG systems, fine-tuning, and AI agent frameworks. * Strong architectural expertise in integrating diverse technologies across software engineering environments.

LLM/agentic AI/RAG/multi-agent hands-on (LangChain/LangGraph/AutoGen). * Knowledge graphs, causal inference, or large perturbation models. * Single-cell RNA-seq/spatial transcriptomics/CRISPR assay ...

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

Design and deploy RAG-based and conversational AI systems that are accurate, grounded, and trustworthy. AI Ops / ML Ops Implementation * Design and automate end to end ML pipelines covering training ...

Design and deploy RAG-based and conversational AI systems that are accurate, grounded, and trustworthy.**AI Ops / ML Ops Implementation*** Design and automate end to end ML pipelines covering ...

The Senior Data Engineer will also apply AI enabled techniques (semantic layers, RAG, natural-language-to-data experiences) to improve data discoverability and usability while maintaining high ...

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

The Senior Data Engineer will also apply AI enabled techniques (semantic layers, RAG, natural-language-to-data experiences) to improve data discoverability and usability while maintaining high ...

The role focuses on Generative AI, LLMs, agentic workflows, RAG architectures, AI orchestration, and governed enterprise AI platforms delivering scalable copilots, intelligent automation, and ...

What We Need We're looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines ...

You''''ll design and build durable asynchronous orchestration, RAG pipelines, and secure multi ... Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, AgentCore ...

Architect end-to-end AI solutions spanning RAG pipelines, intelligent document processing, structured data extraction, and conversational AI. * Lead technical design using Microsoft Foundry, Azure AI ...

Responsibilities : • Define the AI strategy and architecture for integrating machine learning ... Stand up LLM + RAG + tool integrations (via MCP servers) that help engineers accelerate tool ...

Implement RAG pipelines using enterprise data sources and vector databases * Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI capabilities into core ...

Implement RAG pipelines using enterprise data sources and vector databases * Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI capabilities into core ...

AI Agent Development: Build and deploy multiple production‑ready AI agents using Copilot Studio ... Design and operate retrieval‑augmented generation (RAG) pipelines with Databricks Delta Tables ...