Senior Software Engineer – LLM Evaluation (US-based)

What You'll Do7

• Curate code examples and develop solutions to train and benchmark large language models.
• Evaluate and improve AI-generated code to ensure it is efficient, scalable, and reliable.
• Build automated verification tools and agents in Python to assess code quality and detect error patterns.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry benchmarks.
• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
• Design verification mechanisms that can automatically verify a solution to a software engineering task.
• Provide precise corrections and solutions in Python and other languages as needed.

Requirements6

• 3+ years of software engineering experience.
• Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for production-grade software.
• Experience building full-stack applications and deploying scalable 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 leading programs such as Harvard, Columbia, Princeton, Yale, or University of Pennsylvania.

Who Should Apply

Engineers with at least 3 years of experience who have shipped high-impact products and excel in Python and full-stack development. The role suits someone who can evaluate AI-generated code, design verification tools, and communicate technical reasoning clearly. US-based candidates from fast-growing tech companies or top programs are especially encouraged.