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

About This Role

This role involves designing, building, and optimizing high-performance C++ systems for AI data pipelines and evaluation workflows. The engineer will also develop full-stack tooling for large-scale data annotation and collaborate with cross-functional teams to improve AI model training and evaluation.

Responsibilities

• Design, build, and optimize high-performance systems in C++ supporting AI data pipelines and 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
• 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 reviews to iterate on system design and implementation decisions

Requirements

• Native or fluent English speaker
• Full-stack developer experience with a strong systems programming background
• 3-5+ years of professional experience writing production C++ (with a focus on modern standards like C++17 or C++20)
• Strong systems programming background in performance optimization, concurrency (e.g., threading, atomics), and memory safety (e.g., RAII, smart pointers, sanitizers)
• Clear written and verbal communication skills
• Ability to commit 20–40 hours per week

Qualifications

• 3-5+ years of professional experience writing production C++

Nice to Have

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

Skills

* Required skills