Ai Rag Jobs in Utah (NOW HIRING)

... RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker ...

... RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker ...

Architect and build the data infrastructure required for RAG applications, including vector storage, chunking strategies, and retrieval pipelines. * Collaborate with AI/ML engineers to support ...

Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering, translating business needs into production-ready AI solutions. * Architect the AI strategy at the ...

Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering, translating business needs into production-ready AI solutions. * Architect the AI strategy at the ...

Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering, translating business needs into production-ready AI solutions. * Architect the AI strategy at the ...

The AI OG is responsible for both internal AI tool development and client-facing AI solution ... You should be comfortable with concepts like RAG pipelines, agentic workflows, prompt engineering ...

Architect and build the data infrastructure required for RAG applications, including vector storage, chunking strategies, and retrieval pipelines. * Collaborate with AI/ML engineers to support ...

Architect and build the data infrastructure required for RAG applications, including vector storage, chunking strategies, and retrieval pipelines. * Collaborate with AI/ML engineers to support ...

Build and maintain production-grade AI solutions including RAG pipelines, agentic workflows, and multi-agent systems * Develop on the Microsoft Azure AI stack, including Azure OpenAI Service, Azure ...

Build production AI features end-to-end using frontier models from Anthropic, Google, and OpenAI, spanning prompt design and evaluation, agent orchestration, retrieval (RAG), tool use, multi-step ...

Build production AI features end-to-end using frontier models from Anthropic, Google, and OpenAI, spanning prompt design and evaluation, agent orchestration, retrieval (RAG), tool use, multi-step ...

Build production AI features end-to-end using frontier models from Anthropic, Google, and OpenAI, spanning prompt design and evaluation, agent orchestration, retrieval (RAG), tool use, multi-step ...

Build production AI features end-to-end using frontier models from Anthropic, Google, and OpenAI, spanning prompt design and evaluation, agent orchestration, retrieval (RAG), tool use, multi-step ...

Build production AI features end-to-end using frontier models from Anthropic, Google, and OpenAI, spanning prompt design and evaluation, agent orchestration, retrieval (RAG), tool use, multi-step ...

Develop innovative AI/ML software solutions, specifically focusing on Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) architectures, while adhering to enterprise software standards.

Develop innovative AI/ML software solutions, specifically focusing on Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) architectures, while adhering to enterprise software standards.

Develop innovative AI/ML software solutions, specifically focusing on Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) architectures, while adhering to enterprise software standards.

Develop innovative AI/ML software solutions, specifically focusing on Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) architectures, while adhering to enterprise software standards.

... RAG poisoning, ), building AI incident response playbooks, and red-teaming AI systems across Recursion's product surfaces. * Secure the AI supply chain and MLOps infrastructure by vetting third-party ...