Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
Participate in synchronous reviews to iterate on system design and implementation decisions
Requirements
Native or fluent English speaker
Full-stack developer experience with a strong systems programming background
3-5+ years of professional experience writing production Python.
Strong ability to write clean, maintainable code utilizing linters, formatters, and comprehensive testing frameworks.
Experience gluing together various AI services and APIs, handling edge cases, and ensuring robust error reporting.
Clear written and verbal communication skills.
Ability to commit 20–40 hours per week.
Additional Instructions
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
Participate in synchronous reviews to iterate on system design and implementation decisions
