Senior Python Full-Stack Engineer: AI Data & Infrastructure

* 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

Who You Are

* 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

Nice to Have

* 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

Why Join Us

* Work on cutting-edge AI infrastructure alongside leading research labs * Fully remote and flexible — work when and where it suits you * Freelance autonomy with the depth and impact of a senior engineering role * Contribute directly to systems that shape how next-generation AI models are built and evaluated * Potential for ongoing work and contract extension as new projects launch