RAG & Knowledge Systems Engineer

Retrieval-augmented generation, document search, and knowledge-grounded applications.

Status: Join the talent network
Type: Technical
Level: Experienced.
Work: Project-based
Time: Per project
Pay model: Project-based
Location: Remote

There is no active vacancy for this role right now. Registering interest adds you to our talent network; we reach out when a suitable project or need appears.

What you would do

Build document ingestion pipelines
Implement chunking, embeddings, retrieval, and search
Build knowledge-grounded applications
Evaluate retrieval quality and answer grounding
Implement source attribution and insufficient-information behavior
Support vector databases where needed

Skills and expectations

Required

Hands-on retrieval or search system experience

Preferred

Evaluation tooling, vector databases

Experienced. No degree is required where skills can be demonstrated.

Compensation approach

Scope, deliverables, deadlines, ownership, and payment are agreed before work begins. Paid projects are not guaranteed to exist for every applicant.

No application fee. Not an employment contract. No guaranteed salary, projects, or equity. Read the full compensation disclosure on the Partners page.