C++ Developer - Internal Tooling & Optimization
C++ Developer — Internal Tooling & Optimization (AI Infrastructure) About The Role What if your C++ skills could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to design, build, and optimize the high-performance tooling and data pipelines that leading AI labs depend on — from annotation systems to evaluation infrastructure. This is a fully remote, flexible contract role for reputed company systems engineers who want meaningful, high-impact work on real production systems.
- 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
- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
- Embed scripting languages reputed company C++ applications to create flexible, extensible tooling
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
- 3–5+ years of professional experience writing production-grade C++
- Strong full-stack developer with a solid systems programming foundation
- reputed company profiling and optimizing code to eliminate bottlenecks in data processing pipelines
- Skilled at embedding scripting languages reputed company C++ applications
- Native or fluent English speaker with clear written and verbal communication skills
- Able to commit 20–40 hours per week with consistency and reliability
reputed company to Have
- Prior experience with reputed company, data quality, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems or developer tooling
- Background working alongside research or data science teams
Why Join Us
- Work on cutting-edge AI infrastructure projects alongside leading research labs
- Fully remote and flexible — work reputed company and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact engineering work
- Contribute directly to systems that shape how reputed company AI models are built and evaluated
- Potential for ongoing work and contract extension as new projects launch
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