Software Engineer – AI Research & Evaluation (US-based)

What You'll Do6

• Curate code examples and provide precise solutions to correct code across Python, JavaScript (React, Node.js), and other languages like C/C++, Java, Rust, and Go.
• Assess AI-generated code in both backend and frontend contexts, ensuring it meets standards for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to improve AI-driven coding solutions against industry performance benchmarks.
• Build agents that verify code quality and detect error patterns in full-stack applications.
• Formulate hypotheses about stages of the software engineering cycle (prototyping, architecture, API design, implementation, launch, monitoring) and evaluate model capabilities on them.
• Design automated verification mechanisms to check solutions for software engineering tasks.

Requirements5

• 3+ years of software engineering experience building production systems.
• Strong full-stack development skills with Python and JavaScript (React, Node.js), comfortable working across backend and frontend codebases.
• Experience deploying scalable, production-grade software using modern languages and tools.
• Deep knowledge of software architecture, design, debugging, and code quality assessment.
• Excellent written and verbal communication skills to articulate clear evaluation rationales.

Preferred Qualifications2

• Experience at high-scale engineering organizations such as Google, Microsoft, Apple, Amazon, or Meta.
• Graduation from leading programs like Harvard, Columbia, Princeton, Yale, or University of Pennsylvania.

Who Should Apply

Engineers with at least three years of full-stack experience in Python and JavaScript (React, Node.js) who enjoy evaluating and improving AI-generated code. The role suits someone with a strong grasp of software architecture and debugging, and clear communication skills for structured evaluations.