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

Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. As a Senior Backend Engineer, you will create cutting-edge datasets for training and evaluating large language models, collaborating closely with researchers and cross-functional teams to enhance AI-driven coding solutions.

Responsibilities:

• Create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers
• Curate code examples, provide precise solutions, and make corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions
• Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks
• Build agents that can verify the quality of the code and identify error patterns across full-stack applications
• 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

Requirements:

• Several years of software engineering experience (3 years or more)
• Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases
• Experience 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
• Experience working at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems
• Graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions