AI Systems Engineer: Code, Evaluation & Research

Turing; Chicago (IL); On-site; USD 14,000 - 55,000; Full time

Job summary

Turing is seeking a Software Engineering Evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples and precise solutions across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS), emphasizing systems-level code and performance.

You will evaluate AI-generated code for efficiency, scalability, and reliability, and collaborate with researchers and cross-functional teams to enhance enterprise AI-driven coding solutions.

Qualifications

• 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.

Responsibilities

• Curate code examples and build solutions across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS).
• Evaluate and refine AI-generated code focusing on systems-level correctness, performance, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry benchmarks.
• Build agents to verify quality of systems-level and infrastructure code and identify error patterns.
• Hypothesize steps in the software engineering cycle and evaluate model capabilities on them.
• Design verification mechanisms that automatically verify solutions to software tasks.

Skills

Python

C/C++

Rust

Go

Systems programming

Infrastructure

Backend development

Code quality

Communication skills

Tools

ReactJS

Job description

Turing is seeking a Software Engineering Evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples and precise solutions across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS), emphasizing systems-level code and performance.

You will evaluate AI-generated code for efficiency, scalability, and reliability, and collaborate with researchers and cross-functional teams to enhance enterprise AI-driven coding solutions.