Staff Backend Engineer
Core
Design and build the core backend architecture for an AI-native data intelligence system that provides context retrieval and governance for AI agents.
Role type
Staff Backend Engineer (AI-native context layer)
Builds
Production services for context ingestion, indexing, retrieval orchestration, and agent-facing integrations.
Domain
Observability, AI/LLM, Cloud-native infrastructure
Required skills
Backend architecture design, API development, multi-tenant system design, observability tooling, cloud-native development, AI/LLM application development, system administration, rapid prototyping, ambiguity management
Preferred skills
Agent frameworks, multi-agent workflows, data platforms (Looker, Tableau, Snowflake, DataBricks), data engineering tools
Technologies
AWS, GCP, Azure, observability tools, GenAI frameworks
Responsibilities
Design and implement services for context ingestion, indexing, and retrieval; define architecture for multi-tenant SaaS with tenant isolation and quotas; build APIs for AI agents and MCP tools; instrument services with metrics, logs, and traces; shape technical direction and engineering practices.
Seniority
Staff, high-autonomy IC with strategic impact