Retrieval Augmented Generation Jobs in Austin, TX

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 ...

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

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

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 ...

Review and provide guidance on architectures utilizing large language models, retrieval augmented generation pipelines, AI agents, and AI-powered workflows. * Define and recommend identity ...

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 ...

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

We're seeking a Database Engineer to architect and optimize our large-scale RAG (Retrieval-Augmented Generation) platform that serves our users across all of the Hardware Tech group. This role ...

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 ...

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

Design and implement retrieval-augmented generation, contextual knowledge, tool integration, and agentic workflows that safely use approved internal engineering information. * Connect AI systems to ...

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 ...

Retrieval-Augmented Generation (RAG) * Vector Databases * Embeddings * Agentic Workflows Cloud Technologies: * Oracle Cloud Infrastructure (OCI) * Cloud-Native Architectures * Kubernetes and OKE

Define capabilities that connect telemetry, assets, topology, metadata, and business entities to power semantic search, contextual analytics, retrieval-augmented generation, and agentic AI workflows.

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 ...

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 ...