Lead Backend Engineer - AI Tooling
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The role
Design, build, and optimize high-performance Python systems powering 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 production Python codebases.
Collaborate with data, research, and engineering teams to support model training and evaluation.
Identify bottlenecks and edge cases; implement scalable fixes and participate in system design reviews.
Lead code reviews and cross-functional discussions to drive robust architectural decisions.
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
Improve reliability, performance, and safety across production Python codebases.
Collaborate with data, research, and engineering teams to support model training and evaluation.
Identify bottlenecks and edge cases; implement scalable fixes and participate in system design reviews.
Lead code reviews and cross-functional discussions to drive robust architectural decisions.
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