RAG Infrastructure Engineer

Build the retrieval substrate behind knowledge-grounded AI. Optimize indexing, query latency, and hybrid retrieval across billion-vector workloads.

Pinecone is looking for a Mid-level practitioner who can own outcomes end-to-end. You will partner with product, research, and platform teams to ship reliable AI-powered features, instrumented with the evaluation harnesses this role is responsible for.

Day-to-day you will design systems around Vector databases, Embeddings, Go, write production code, review pull requests, run evaluations, and contribute to a blameless postmortem culture. We expect strong written communication and comfort working in a fast-moving, evidence-driven environment.

This role is remote-friendly and reports into the Vector Databases practice. Compensation ranges from $130K–$200K plus equity and benefits. We are an equal-opportunity employer and actively seek candidates from non-traditional backgrounds who have built real AI systems.