LLM Agentic Trainer
1 week ago
Role Overview
We are seeking a Python Engineer to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with Python and JSON function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.
What does day-to-day look like?
- Validate large-scale training datasets and maintain strict quality standards.
- Develop and optimize Python-based pipelines for data processing and validation.
- Create, manipulate, and structure JSON tasks for function-calling workflows.
- Work closely with AI researchers and teams to align datasets with agentic AI use cases.
- Monitor data accuracy, consistency, and integrity across projects.
- Contribute to documentation and best practices for dataset preparation and validation.
Requirements
- Strong proficiency in Python or JavaScript or Java or any other programming languages for data handling and workflow automation.
- Solid understanding of SQL for querying and managing datasets.
- Hands-on experience with GitHub for version control and collaboration.
- Expertise in handling, creating, and validating JSON - formatted tasks.
- Exceptional attention to detail with a focus on data quality and consistency.
- Interest in or exposure to agentic AI, LLMs, or NLP best practices.
- Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.
Evaluation Process (60 mins) :
- Technical Interview with live coding session
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