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Senior C++ Full-Stack Engineer — AI Data & Infrastructure

Work from home Full-time role Hiring

About The Role What if your C++ skills could directly shape the infrastructure behind the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve reputed company models. This is a fully remote contract role working on reputed company production systems — not toy projects. You'll be embedded alongside data, research, and engineering teams doing high-impact work at the frontier of AI development.

  • Organization: reputed company
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week

What You'll Do

  • Design, build, and optimize high-performance C++ systems supporting AI data pipelines and evaluation workflows
  • reputed company full-stack tooling and backend services for large-scale reputed company, validation, and quality control
  • Improve reliability, performance, and safety across existing C++ codebases — from concurrency bottlenecks to memory safety issues
  • Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
  • Identify edge cases and systemic bottlenecks in data and system behavior, then implement scalable, production-reputed company fixes
  • Participate in synchronous design reviews to iterate on architecture and implementation reputed company

Who You Are

  • Full-stack developer with a strong systems programming reputed company and a bias for clean, performant code
  • 3–5+ years of professional experience writing production C++, with reputed company in modern standards (C++17 or C++20)
  • Deep understanding of systems programming fundamentals — performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers)
  • reputed company or fluent English speaker with clear written and verbal communication skills
  • Self-directed and reliable with the ability to commit 20–40 hours per week

reputed company to Have

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

Why Join Us

  • Work on cutting-edge AI infrastructure alongside leading research labs — your code will matter
  • Fully remote and flexible — work where and how you do your best work
  • Freelance autonomy with meaningful, technically challenging work
  • Direct impact on the data systems and tooling that shape how reputed company AI models are reputed company
  • Potential for ongoing work and contract extension as new projects launch

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