Python Software Engineer - AI Workflows

What You'll Do

• Design, build, and optimize high-performance Python systems 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 production Python codebases
• Integrate AI services and APIs with robust error handling and edge case coverage
• Identify bottlenecks and failure modes in data and system behavior, then implement scalable solutions
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Participate in synchronous design reviews to iterate on system architecture and implementation decisions

Who You Are

• 3–5+ years of professional experience writing production-grade Python
• A strong full-stack developer with a solid systems programming background
• You write clean, maintainable code and naturally reach for linters, formatters, and comprehensive test coverage
• You have experience gluing together AI services and APIs with confidence — you anticipate edge cases before they bite
• You are a clear, direct communicator — both in writing and in technical discussions
• You are a native or fluent English speaker
• You are available to commit 20–40 hours per week

Nice to Have

• Prior experience with data annotation, data quality, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking pipelines
• Experience with distributed systems or developer tooling
• Background working directly with AI labs or research teams