Retrieval Augmented Generation Jobs in Austin, TX

Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers ...

Familiarity with Generative AI and Machine Learning including Retrieval Augmented Generation. Ability to work and deliver independently with minimal guidance. Good communication skills"

Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...

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 ...

Develop and optimize Retrieval-Augmented Generation (RAG) systems * Build AI agents, workflow automation solutions, and intelligent assistants * Integrate LLMs such as OpenAI, Claude, Gemini, and ...

We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as Cursor AI . The ideal ...

Engineers design and implement multi-agent orchestration frameworks, retrieval-augmented generation (RAG) pipelines, tool-calling integrations, and LLM inference services - all at enterprise scale on ...

We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as Cursor AI . The ideal ...

Guide the implementation of modern AI capabilities, including retrieval-augmented generation (RAG), AI agents, orchestration frameworks, and integrations with leading LLM providers. * Establish ...

Define architectures covering data ingestion, vector stores, prompt engineering, retrieval-augmented generation (RAG), agent workflows, APIs, and integration layers Responsible & Ethical AI * Embed ...

Develop and integrate AI-assisted interfaces, including Retrieval-Augmented Generation (RAG) and other LLM-based services. * Design and maintain data storage, APIs and integration layers connecting ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Retrieval Augmented Generation (RAG): Familiarity with RAG concepts and experience with building tools/applications for RAG workflows (e.g., interacting with vector databases, embedding services ...

Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities. * Integrate agents with enterprise systems, APIs, and data sources ...

Experience designing end-to-end AI systems (e.g., Retrieval-Augmented Generation (RAG), vector databases, and API integrations) and defining AI product/workflow specifications. * Experience leading ...

This role defines end-to-end AI solution patterns involving large language models, APIs, retrieval-augmented generation, vector search, intelligent agents, orchestration workflows, Snowflake, cloud ...

Develop and integrate AI-assisted interfaces, including Retrieval-Augmented Generation (RAG) and other LLM-based services. * Design and maintain data storage, APIs and integration layers connecting ...

Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...

Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...