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Job summary
A tech innovation company in New York is looking for a skilled professional to manage infrastructure for AI agents. The role involves orchestrating container environments, maintaining distributed systems, and ensuring LLM workloads run efficiently. Ideal candidates will have experience with Kubernetes, SQS, and Kafka, alongside a passion for working in a fast-paced, early-stage team environment. You will have the chance to collaborate with AI researchers directly and influence the future of agent technology.
Qualifications
Experience with container orchestration tools in production environments.
Knowledge of distributed systems and message-driven architectures.
Experience in running LLM workloads at scale.
Responsibilities
Manage agent orchestration and dispatch layer for AI workloads.
Design environments and tasks for agent evaluation.
Monitor and maintain model behavior and infrastructure.
Skills
Container orchestration
Distributed systems
LLM infrastructure
Debugging token throughput
Tools
Kubernetes
SQS
Kafka
Job description
A tech innovation company in New York is looking for a skilled professional to manage infrastructure for AI agents. The role involves orchestrating container environments, maintaining distributed systems, and ensuring LLM workloads run efficiently. Ideal candidates will have experience with Kubernetes, SQS, and Kafka, alongside a passion for working in a fast-paced, early-stage team environment. You will have the chance to collaborate with AI researchers directly and influence the future of agent technology.