Python Engineer

Key Responsibilities

• Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics, or a closely related technical field.
• 7+ years of professional software engineering experience, with significant hands-on work in Python on production systems.
• Deep knowledge of Python language features, the standard library, and common ecosystems such as web frameworks, data tooling, or backend services.
• Strong understanding of algorithms, data structures, system design, and performance optimization in Python applications.
• Proven experience designing, reviewing, and improving high-quality Python codebases, including code review and mentoring responsibilities.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Comfort working with modern tooling such as version control systems, CI/CD pipelines, testing frameworks, and containerization technologies.
• Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
• Highly detail-oriented, with a structured and methodical approach to evaluating reasoning quality and identifying subtle errors in technical solutions.