Senior JavaScript/React Engineer – AI Training (US-based)

What You'll Do8

• Create and curate code examples in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) for AI model training.
• Evaluate and improve AI-generated code with a focus on systems-level correctness, performance, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry benchmarks.
• Build agents that verify the quality of systems-level and infrastructure code and identify error patterns.
• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and assess model capabilities on them.
• Design verification mechanisms that automatically check solutions to software engineering tasks.
• Provide precise solutions and corrections to code in the listed languages.
• Work closely with researchers to advance large language models.

Requirements6

• 3+ years of software engineering experience.
• Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.
• Experience building and deploying scalable, production-grade software using modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
• Excellent oral and written communication skills for clear, structured evaluation rationales.
• Must be based in the United States.

Preferred Qualifications2

• Experience at high-growth companies like Stripe, Airbnb, Cloudflare, Datadog, or Coinbase.
• Graduation from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, or Georgia Tech.

Who Should Apply

Candidates with at least 3 years of software engineering experience, particularly in systems programming or backend development, and strong skills in Python, C/C++, Rust, Go, Java, and JavaScript/ReactJS. The role suits engineers who have shipped production-grade software and can communicate technical evaluations clearly.