Member of Technical Staff, Applied AI Backend
Core
Design, build, and operate backend services and data pipelines that turn human expertise into training data for frontier AI models.
Role type
Senior IC backend systems engineer (AI infrastructure)
Builds
Backend services, APIs, data pipelines, and infrastructure for the Applied AI stack
Domain
AI data infrastructure / Backend systems
Deliverable
production ML models
Required skills
backend engineering fundamentals, API design, database design, distributed systems, data orchestration, container management, infrastructure as code, observability, debugging under load
Preferred skills
LLM-backed service integration, AI infrastructure provider familiarity, agentic development tools fluency
Technologies
Terraform, Airflow, Temporal, Dagster, REST, gRPC, GraphQL, containers, CI/CD
Responsibilities
Design and ship backend services and data pipelines end-to-end; build high-throughput pipelines with failure recovery; manage container orchestration and resource allocation; debug production incidents and write post-mortems; define and monitor system budgets for latency, error, and cost; write design docs and perform code reviews; collaborate with product and research teams to define system requirements
Seniority
Senior, hands-on IC