Related skills
python rbac rag_architecture embedding_retrieval📋 Description
- Embed with feature teams to shape the context layer roadmap.
- Build the Context Layer: knowledge graph, RAG, and search infra.
- Design and own RBAC and access control for the context layer.
- Define and evolve APIs, SDKs, for the context layer.
- Identify data platform dependencies with data engineering.
- Drive architecture discussions, reviews, and set technical standards.
🎯 Requirements
- 12+ years software engineering, focus on data-layer or search infra.
- Experience building knowledge graphs and large-scale retrieval systems.
- Deep expertise in RAG, vector databases, and embedding retrieval.
- RBAC design in multi-tenant, data-rich environments.
- Designing developer-facing APIs and SDKs.
- Familiarity with data governance, lineage, and auditability.
🎁 Benefits
- Inclusive, supportive workplace focused on belonging.
- Equal Opportunity Employer; inclusive culture.
- Remote work opportunities.
- Collaborative, Agile environment with cutting-edge AI.
- Career growth and meaningful, impactful work.
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