Full-Stack AI Infra Engineer: GenAI & RAG, Low Latency

purestorage; Santa Clara (CA); On-site; USD 180,000 - 326,000; Full time

Benefits offered by this job

Equity

Flex time off

Wellness resources

Team events

Job summary

Pure Storage in Santa Clara, CA is seeking an experienced full-stack engineer to lead enterprise RAG platform development in collaboration with NVIDIA. You will own end-to-end features, integrating Go and Python backend with frontend interfaces to deliver low-latency data retrieval for large-scale customers.

Join a high-impact team working on cutting-edge GenAI tooling, scalable architecture, and reliable performance, with strong emphasis on security and enterprise readiness.

Qualifications

• Proven experience building production‑grade backend microservices and modern frontend apps in Go and Python.
• Hands‑on GenAI and RAG experience with data processing.
• Strong independent problem‑solving and cross‑functional collaboration.

Responsibilities

• Architect and scale enterprise RAG infrastructure with Go and Python at low latency.
• Integrate GenAI tooling with NVIDIA collaboration to expand platform capabilities.
• Own end‑to‑end product features from concept to deployment, including frontend and backend.
• Establish tests, performance benchmarks, and reliability standards across the stack.

Skills

Go

Python

GenAI

RAG

Frontend development

Backend microservices

Tools

LLM pipelines

Go tooling

Python libraries

Job description

Pure Storage in Santa Clara, CA is seeking an experienced full-stack engineer to lead enterprise RAG platform development in collaboration with NVIDIA. You will own end-to-end features, integrating Go and Python backend with frontend interfaces to deliver low-latency data retrieval for large-scale customers.

Join a high-impact team working on cutting-edge GenAI tooling, scalable architecture, and reliable performance, with strong emphasis on security and enterprise readiness.