Python Software Engineer - AI Workflows

Alignerr is seeking a senior full-stack Python engineer to build the infrastructure behind next-generation AI. The role involves designing and optimizing Python systems for data pipelines and evaluation workflows to support leading AI labs.

Responsibilities:

• 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 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, then implement scalable fixes
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

Requirements:

• 3–5+ years of professional experience writing production-grade Python
• Strong full-stack developer with a solid systems programming background
• You write clean, maintainable code — linters, formatters, and testing frameworks are second nature
• Experienced in integrating AI services and APIs, handling edge cases, and building robust error reporting
• A clear communicator — both in writing and in synchronous discussions
• Native or fluent English speaker
• Available to commit 20–40 hours per week
• 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