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. The role involves creating datasets for training and advancing large language models, evaluating AI-generated code, and collaborating with 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) with particular emphasis on systems-level code, performance-critical applications, and infrastructure
• 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)
• Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks
• Build agents that can 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 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 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
• Ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations
• Graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions