Full Stack Engineer

What You'll Do6

• Curate code examples, develop solutions, and correct code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
• Evaluate and refine AI-generated code with a focus on systems-level correctness, performance, and reliability.
• Collaborate 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 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 automatically verify solutions to software engineering tasks.

Requirements5

• 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.

Preferred Qualifications2

• Experience at high-scale engineering organizations such as Google, Microsoft, Apple, Amazon, or Meta.
• Graduation from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, or comparable institutions.

Who Should Apply

Candidates with at least three years of software engineering experience, especially in systems programming, infrastructure, or backend development, and a strong grasp of Python, C/C++, Rust, Go, Java, and JavaScript. The role suits engineers who have built scalable production systems and can evaluate code quality with clear, structured reasoning.