Member of Technical Staff, Core AI
Core
Building the horizontal runtime, intelligence, and improvement capabilities for an enterprise agent operating system, including agent execution environments, evaluation systems, and self-improving loops.
Role type
Senior IC distributed systems engineer (AI/ML infrastructure)
Builds
Agent runtime, execution environments, evaluation suites, experiment/versioning systems, and durable orchestration for long-running tasks.
Domain
Enterprise AI, distributed systems, agent orchestration
Deliverable
production ML models
Required skills
Backend and distributed-systems fundamentals, typed API design, asynchronous workflows, reliability engineering, production debugging, experiment design, security-minded multi-tenant system design, product judgment, AI-native development
Preferred skills
Kubernetes controller development, isolation boundaries, statistics and experimental design, trajectory/event data at scale, reinforcement learning, post-training
Technologies
Python, React, TypeScript, asynchronous/streaming systems, relational and vector data, cloud-native deployment, multiple model providers
Responsibilities
Develop the learning data plane around agents including structured trajectories and privacy controls; Create evaluation systems for task completion, tool use, and safety; Design experiment and versioning systems for comparing changes; Build durable orchestration for long-running tasks with human-in-the-loop interactions; Own execution environments including isolation and resource limits; Publish reliable APIs and reusable libraries across agent categories.
