Software Engineer (C#) - Internal Tooling

What You'll Do

• Design, build, and optimize high-performance C# 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 C# codebases used in production AI research environments
• Collaborate with data scientists, researchers, and engineers to support model training and evaluation infrastructure
• Identify bottlenecks and edge cases in data and system behavior — then implement scalable, robust fixes
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

• Native or fluent English speaker with clear written and verbal communication skills
• Full-stack developer with a strong systems programming background
• 3–5+ years of professional experience writing production-grade C#
• Experienced in interoperability scenarios — such as invoking Python ML models from .NET or wrapping native libraries
• Skilled at designing robust harnesses for benchmarking and evaluating system performance
• Able to commit 20–40 hours per week with reliability and consistency

Nice to Have

• Prior experience with data annotation, data quality, or evaluation systems
• Familiarity with AI/ML workflows, model training pipelines, or benchmarking frameworks
• Experience with distributed systems or developer tooling at scale