Teams at MLabs

Develop backend and data solutions while supporting daily operations, collaborating with cross-functional stakeholders, improving workflows, monitoring performance metrics, tracking milestones, solving complex challenges, maintaining documentation, and ensuring compliance. The role requires strong communication, prioritization, independent troubleshooting, and the ability to deliver high-quality outcomes in a fast-paced environment.

Lead design and implementation of high-performance agent runtimes, backend services, and self-hosted model/agent infrastructure. Build low-latency execution systems, real-time data pipelines, telemetry loops, CI/CD for zero-downtime deployments, and ensure fleet reliability on AWS/EKS.

Design, deploy, and maintain physical and cloud network infrastructure for a large-scale AI data platform. Implement IaC, virtualization, container orchestration, monitoring, and security to ensure scalable, reliable operations and integrate DevOps automation with engineering teams.