Senior Software Engineer & LLM Code Trainer

Kake is seeking a Senior Software Engineer to contribute to the development and evaluation of AI training data for a leading expert human data platform for AI agents and LLMs. This role involves working at the intersection of software engineering and artificial intelligence, helping to build better models by writing prompts, producing code solutions, and evaluating model outputs.

Responsibilities:

• Create and review coding tasks based on real-world software engineering scenarios, including debugging, refactoring, code generation, API usage, automated tests, performance, security, and edge cases
• Write high-quality reference solutions that are correct, clear, testable, and aligned with task requirements
• Evaluate AI-generated code and responses using structured rubrics, assessing correctness, clarity, security, performance, maintainability, and instruction-following
• Compare multiple model responses, select the strongest answer, and justify your decision with clear technical reasoning
• Identify bugs, hallucinated APIs, missing edge cases, weak explanations, and poor engineering decisions in AI-generated outputs
• Work with terminal-based development workflows when needed, including running tests, debugging issues, managing dependencies, and navigating repositories
• Follow detailed guidelines consistently and participate in calibration activities to ensure high-quality, reliable evaluations

Requirements:

• 5+ years of professional software engineering experience in a backend, fullstack, or systems role
• Strong proficiency in at least one core programming language, ideally Python, JavaScript/TypeScript, Go, Java, C++, or SQL
• Hands-on experience with Terminal-Bench, with the ability to evaluate AI agent performance on terminal-based tasks including compiling code, running tests, managing environments, and completing multi-step software engineering workflows
• Comfortable working with Git, command line/terminal, and common development workflows
• Ability to evaluate code critically - not only whether it works, but whether it is well-designed, secure, and maintainable
• Prior experience in AI data production, RLHF, data annotation, or LLM evaluation projects
• Excellent written and verbal communication skills in English
• Ability to work independently in a remote, asynchronous, fast-paced environment
• High attention to detail and the ability to follow complex, rubric-based guidelines consistently
• Experience with Python-heavy workflows, automated testing frameworks, Docker, Linux, bash, or containerized environments
• Experience with repo-level code reasoning, large codebases, or open-source contributions
• Background in backend systems, data engineering, DevOps, infrastructure, security, or large codebase