Principal Python Engineer — AI Data Pipelines (Remote)

Alignerr Corp.; Sydney; A distancia; AUD 165.000 - 262.000; Jornada completa

Descripción de la vacante

Alignerr is seeking a Principal Python Engineer for ML infrastructure in a fully remote, flexible contract role based around Sydney. You will design and implement data pipelines, annotation tooling, and evaluation systems used by leading AI labs at scale.

You’ll work on high-performance Python systems in distributed environments, focusing on reliability, performance, and safety across production codebases. The role suits a senior engineer who can drive architectural decisions and collaborate

Formación

• 5+ years of professional experience writing production Python for large-scale infrastructure
• Experience designing distributed systems with concurrency and asynchronous patterns
• Strong memory profiling and Python performance optimization skills
• Ability to drive technical strategy and architectural decisions

Responsabilidades

• Design, build, and optimize high-performance Python systems for data pipelines and evaluation workflows
• Develop tooling and backend services for large-scale data annotation, validation, and quality control
• Improve reliability, performance, and safety across production Python codebases
• Identify bottlenecks and implement scalable fixes
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Drive architectural and system design decisions through technical reviews

Conocimientos

Python

Distributed systems

Asynchronous programming

Concurrency

System design

Full-stack development

English proficiency

Herramientas

Annotation tooling

Backend services

Performance profiling

Descripción del empleo

Alignerr is seeking a Principal Python Engineer for ML infrastructure in a fully remote, flexible contract role based around Sydney. You will design and implement data pipelines, annotation tooling, and evaluation systems used by leading AI labs at scale.

You’ll work on high-performance Python systems in distributed environments, focusing on reliability, performance, and safety across production codebases. The role suits a senior engineer who can drive architectural decisions and collaborate