About the Company
We are a fast-growing AI engineering and data innovation company, building advanced code-evaluation pipelines, automation tooling, and high-quality training datasets. Our work involves deep collaboration with experienced developers to ensure reliability, correctness, and industry-grade code quality.
About the Role
As a Python Coding Agent, you will evaluate code patches, debug issues, validate logic, and assist in generating high-quality outputs using AI coding tools. You will use platforms like Cursor, Claude Code, and similar AI-assisted environments to analyze repositories, test solutions, and provide accurate coding judgments.
Responsibilities
Analyze and validate Python code patches and PRs
Debug failures, runtime errors, and logic issues
Run automated tests and interpret failing case.
Use AI tools (Cursor, Claude Code, etc.) to evaluate and improve outputs
Review large Python repositories to understand architectural patterns
Produce clean test cases, oracle tests, and correctness assessments
Skills & Experience Required
1–5 years professional Python development experience
Strong debugging skills; familiarity with pytest, Git, PR review
Ability to read large codebases and evaluate design correctness
Experience using AI coding tools (Cursor, Claude Code, etc.)
strong in debugging, test writing, and code correctness evaluation
or continue with email
We are a fast-growing AI engineering and data innovation company, building advanced code-evaluation pipelines, automation tooling, and high-quality training datasets. Our work involves deep collaboration with experienced developers to ensure reliability, correctness, and industry-grade code quality.
About the Role
As a Python Coding Agent, you will evaluate code patches, debug issues, validate logic, and assist in generating high-quality outputs using AI coding tools. You will use platforms like Cursor, Claude Code, and similar AI-assisted environments to analyze repositories, test solutions, and provide accurate coding judgments.
Responsibilities
Analyze and validate Python code patches and PRs
Debug failures, runtime errors, and logic issues
Run automated tests and interpret failing case.
Use AI tools (Cursor, Claude Code, etc.) to evaluate and improve outputs
Review large Python repositories to understand architectural patterns
Produce clean test cases, oracle tests, and correctness assessments
Skills & Experience Required
1–5 years professional Python development experience
Strong debugging skills; familiarity with pytest, Git, PR review
Ability to read large codebases and evaluate design correctness
Experience using AI coding tools (Cursor, Claude Code, etc.)
strong in debugging, test writing, and code correctness evaluation
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