Senior C# Engineer — AI Infra & Data Pipelines (Remote)

Alignerr Corp.; United States; Presencial; MXN 344.000 - 1.102.000; A tiempo parcial

Descripción de la vacante

Alignerr is seeking a senior full-stack C# engineer for internal tooling and AI infrastructure. You will design and maintain production-grade C# systems powering large-scale AI data pipelines and evaluation workflows.

You will collaborate with data, research, and engineering teams to implement interoperable solutions, optimize performance, and ship robust tooling for annotation, validation, and quality control at scale.

Formación

• 3–5+ years of professional experience writing production-grade C#.

Responsabilidades

• Design and build high-performance C# systems that support large-scale AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
• Improve reliability, performance, and correctness across existing C# codebases
• Build robust benchmarking and evaluation harnesses to measure system behavior
• Implement interoperability solutions — such as invoking Python ML models from .NET or wrapping native libraries
• Identify bottlenecks and edge cases, then ship scalable, well-reasoned fixes
• Collaborate with data, research, and engineering teams across model training and evaluation workflows
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

Conocimientos

C# production-grade

Full-stack development

Interoperability (Python/.NET)

Benchmarking/Performance

English communication

Descripción del empleo

Alignerr is seeking a senior full-stack C# engineer for internal tooling and AI infrastructure. You will design and maintain production-grade C# systems powering large-scale AI data pipelines and evaluation workflows.

You will collaborate with data, research, and engineering teams to implement interoperable solutions, optimize performance, and ship robust tooling for annotation, validation, and quality control at scale.