Temporary Retrieval Augmented Generation Jobs in Texas

Hands-on experience developing AI-powered applicationsusing OpenAI APIs, LangChain, and Retrieval-Augmented Generation (RAG). Proven ability to optimize system performance, modernize legacyplatforms ...

Implement prompt engineering, RAG (Retrieval-Augmented Generation), and AI-driven automation use cases. * Build AI-enabled features such as chatbots, document processing, and recommendation systems.

Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and retrieval-augmented generation workflows. * Set up scalable data pipelines for model training ...

OOP, design patterns, modular architecture. • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ...

Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...

... Retrieval-Augmented Generation (RAG) and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the use of metadata across ...

Design and implement retrieval-augmented generation pipelines using embeddings and vector databases. * Develop agentic AI workflows capable of multi-step reasoning, tool usage, and task automation.

Hands-on experience with LLMs, prompt engineering, and RAG (Retrieval-Augmented Generation). * Cloud Computing: Deep understanding of core AWS services. * SDLC: Familiarity with DevOps, CI/CD, and ...

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

... retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical ...

... Retrieval-Augmented Generation) pipelines using vector databases Proficient in Knowledge Graph design and implementation -- Neo4j, RDF, SPARQL, and graph-based reasoning for AI applications Strong ...

Build infrastructure for routing and managing LLM service calls, develop prompt engineering and completion pipelines, and integrate retrieval-augmented generation (RAG) frameworks. * Design and ...

Develop Retrieval-Augmented Generation (RAG) systems and craft effective prompts for large language models. * Manage traditional databases (PostgreSQL, MongoDB) and specialized vector databases ...

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

Retrieval-augmented generation and semantic search * Knowledge graph and GraphRAG-based approaches for connecting structured business data, unstructured text, and entity relationships in AI assistant ...

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

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

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

Support implementation of Generative AI and Retrieval Augmented Generation (RAG) solutions. * Develop and maintain RESTful APIs, microservices, and backend services. * Perform code reviews and ...

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...