Ai Rag Jobs in Delaware (NOW HIRING)

The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI ...

Hands-on experience building Retrieval-Augmented Generation (RAG) systems * Experience with Spring AI, LangChain4j, or similar Java AI frameworks * Experience integrating OpenAI, Azure OpenAI, Claude ...

We are looking for an AI Solutions Engineer to join our Technical & Data Intelligence team. This ... Apply technologies such as LLMs, RAG, agents, prompt engineering, APIs, and data pipelines where ...

Extensive experience building AI applications using Python (FastAPI, Flask, LangChain/LlamaIndex ... Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool ...

In-depth understanding of GenAI/LLMs, prompt engineering, RAG, and AI development workflows. * Domain expertise in credit-card systems, fraud detection, or personalized customer marketing.

Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...

Own delivery of RAG systems , including vector database selection/topology and knowledgebase design . * Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns. * Own ...

Own delivery of RAG systems , including vector database selection/topology and knowledgebase design . * Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns. * Own ...

They are seeking an AI-ML Tech Lead to own the end-to-end architecture for AI-agent systems and ... Agent frameworks (Agent SDK, LangChain, LangGraph, CrewAI, Semantic Kernel), RAG pipelines ...

Job Title AI/ML Lead / Architect Location Wilmington, DE (5 days Onsite) Contract Contract ... RAG pipelines, embeddings, and vectorization. LLM fine‑tuning, evaluation, and safety mechanisms.

Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...

Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...

Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...

Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...

Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create ...

Exposure to RAG concepts or vector databases. Awareness of Agile, Lean, or XP delivery methodologies. Ability to identify highvalue AI use cases and support ideation and scoping. Coursework ...

Responsibilities : • Design and develop AI/ML and Generative AI solutions for banking use cases ... Implement RAG-based GenAI applications using internal banking data • Develop scalable data ...

Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g., LangChain, LlamaIndex, or similar) * Fluency in Python and ML/AI tooling; experience with cloud ...

Demonstrated experience owning an AI product end-to-end: requirements, development, deployment, and post-launch measurement Familiarity with LLMs, prompt engineering, RAG architectures, and/or ...

Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g.,LangChain,LlamaIndex, or similar) * Fluency in Python and ML/AI tooling; experience with cloud platforms ...