Lead Backend Engineer - AI Tooling

What You'll Do

• Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows
• Develop backend services and full-stack tooling for large-scale data annotation, validation, and quality control
• Architect robust APIs (REST/GraphQL), design database schemas, and implement authentication and authorization flows
• Improve reliability, performance, and safety across existing Python codebases
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable solutions
• Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
• Lead code reviews and system design sessions with clear, precise communication

Who You Are

• 5+ years of professional experience writing production-grade Python backend services
• Full-stack developer with a strong systems programming background
• Expert in modern Python web frameworks and strict type enforcement patterns
• Proven experience architecting APIs, designing database schemas, and building auth flows
• Clear, confident communicator — able to lead technical discussions and code reviews
• Native or fluent English speaker
• 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