Build Product-Grade Agent Infrastructure
Design and implement the backend systems that make agents usable in production:
execution engines, workflow orchestration, tool invocation frameworks, document processing systems, database interfaces, authentication and authorization, and lifecycle management.
Turn AI Capabilities into Features
Work closely with the AI team to consume new cognitive primitives and turn them into concrete, shippable functionality: agent behaviors, configuration models, execution semantics, and observability surfaces that customers can rely on.
Own Reliability, Scale, and Operability
Ensure agent-powered systems behave predictably under load and over time. This includes handling retries, partial failures, long-running workflows, cost controls, and performance tradeoffs. You’ll help define what “production-ready” means for agents.
Shape the Platform Surface Area
Influence API design, data models, and internal contracts to ensure the platform remains cohesive as it grows. You’ll help prevent accidental complexity and keep the system understandable and evolvable.
Contribute to Technical Leadership
Participate in design reviews and code reviews, help set engineering standards, and mentor other engineers. You’ll act as a force multiplier across the product engineering organization.