Ai Rag Jobs in Lancaster, TX (NOW HIRING)

InterSources Inc is focused on developing reusable toolkits for Gen AI RAG capabilities. The role involves designing, building, and operating software solutions while ensuring compliance and ...

Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with ...

Implement Graph RAG solutions by integrating knowledge graphs, entity extraction, relationship ... Deploy AI workloads on AWS, Azure, and GCP , using services such as Bedrock, SageMaker, Azure ...

Demonstrated experience building AI/ML solutions, including exposure to GPT/Gemini/Claude LLM models, Vertex AI, RAG, GenAI, agentic AI workflows and orchestration. Proficiency in Python and full ...

RAG * Agentic AI / Multi-Agent Systems * MCP (Model Context Protocol) * Production deployment experience * End-to-end ownership (Discovery → Production)

Implement RAG pipelines, including chunking strategies, embedding models, and vector store integration (Pinecone, OpenSearch, pgvector, FAISS) * Build and orchestrate AI agents using frameworks such ...

AI Architect - REMOTE Required skills - Google Cloud Platform Generative AI LLMs Agentic AI Multi-Agent / A2A Systems Complex Chatbots / Conversational AI RAG Knowledge Graphs Machine Learning MCP ...

Generative AI, Agentic AI, RAG, AI Agents * AI orchestration frameworks (such as LangChain or LangGraph) * Vector databases and knowledge retrieval * AI governance, security, and Responsible AI

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Generative AI, Agentic AI, RAG, AI Agents * AI orchestration frameworks (such as LangChain or LangGraph) * Vector databases and knowledge retrieval * AI governance, security, and Responsible AI

RAG (Retrieval-Augmented Generation) Establish best practices for prompt engineering, agent memory, tool usage, context management, reasoning, and AI governance. Lead technical decision-making for ...

Lead the end-to-end design, development, and implementation of scalable AI/ML systems and pipelines, emphasizing Generative AI/LLM solutions, including RAG implementation and evaluation.

Generative AI, Agentic AI, RAG, AI Agents * AI orchestration frameworks (such as LangChain or LangGraph) * Vector databases and knowledge retrieval * AI governance, security, and Responsible AI

Design and implement AI-ready data architectures that support analytics, machine learning, generative AI, RAG, vector databases, and Agentic AI solutions. * Leverage AI-assisted development tools ...

Knowledge of agentic AI, RAG pipelines, and LLM technologies is highly advantageous. * Limited Java/Spring Boot experience is a plus, demonstrating a well-rounded skill set. * Excellent problem ...

Experience with LLMs , Agentic AI , Conversational AI , RAG, Prompt Engineering, AI orchestration, Generative AI, AI-powered client service, intelligent workflow automation, and responsible AI ...

Azure Machine Learning, Azure OpenAI, Azure AI Foundry Experience building MLOps platforms and automated ML pipelines Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval ...

Conduct discovery, threat modeling, and adversarial testing on generative AI, RAG pipelines, ML systems, and AI agents to identify vulnerabilities such as prompt injection, jailbreaking, data ...