Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based)

What You'll Do8

• Curate code examples and build solutions in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) to support AI model training.
• Evaluate and refine AI-generated code with attention to systems-level correctness, performance, and reliability.
• Work with cross-functional teams to improve AI-driven coding solutions against industry performance benchmarks.
• Build agents that verify the quality of systems-level and infrastructure code and detect error patterns.
• Form hypotheses about stages of 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, structured rationales for code evaluations and corrections.
• Collaborate closely with researchers to advance large language model training and benchmarking.

Requirements6

• 3+ years of software engineering experience.
• Strong expertise in systems programming, infrastructure, or backend development using languages such as Python, C/C++, Rust, and Go.
• Experience building and deploying scalable, production-grade software with 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 frontier AI companies such as OpenAI, NVIDIA, Databricks, Palantir, or Snowflake.
• Graduation from leading programs such as Harvard, Columbia, Princeton, Yale, or University of Pennsylvania.

Who Should Apply

Candidates with at least three years of backend or systems engineering experience and strong skills in Python, C/C++, Rust, or Go. The role suits engineers who have worked on production-grade software and can evaluate code quality with clear, structured reasoning.