Organizations rely on complex manual work for critical internal processes, leading to inefficiencies. Luminai aims to automate these long-form, complex workflows using AI, enabling mission-critical tasks to be delegated to autonomous AI systems.
Requirements
- Knowledge of parallel computing concepts and distributed systems
- Knowledge of container technologies like Docker, Kubernetes, Terraform
- Proficiency in Python
- Obsessive mindset towards reliability and performance optimization
- Experience managing or leading ML Infra or Data infra projects
- Proficiency in C++/ Rust
Responsibilities
- Design, build and improve the infrastructure layer that provides a reliable, high performance environment for AI agents deployed in critical production environments.
- Designing and contributing to a custom built high-throughput workflow execution backend
- Architecting and maintaining distributed computing environments
- Simplify system bottlenecks and proactively re-architect key system components before they create issues in production
- Designing and scaling high performance production services
Other
- Proven track record of shipping high-quality code in challenging projects
