Senior Python Full-Stack Engineer — AI Data & Infrastructure

Alignerr is seeking a Senior Python Full-Stack Engineer to shape the infrastructure behind advanced AI systems. The role involves building and optimizing data pipelines, annotation tooling, and evaluation systems for AI labs, working closely with data, research, and engineering teams.

Responsibilities:

• Design, build, and optimize high-performance Python systems supporting AI data pipelines and model 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, and implement scalable fixes
• Participate in synchronous design reviews to iterate on system architecture and implementation decisions

Requirements:

• Native or fluent English speaker with clear written and verbal communication skills
• Experienced full-stack developer with a strong systems programming background
• 5+ years of professional experience writing production-grade Python
• Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading
• Comfortable with type safety tooling such as Pydantic and mypy
• Proven track record building robust backend services (FastAPI, Django) or scalable data pipelines
• Able to commit 20–40 hours per week consistently
• Prior experience with data annotation, data quality systems, or model evaluation infrastructure
• Familiarity with AI/ML workflows, model training pipelines, or benchmarking systems
• Experience with distributed systems or developer tooling