We are seeking a professional to support the development of an intelligent documentation assistant that automates documentation workflows. The role involves designing and implementing systems that analyse Jira summaries and comments to detect potential documentation updates and trigger alerts for writers. You will also build mechanisms to analyse code changes across repositories and map them to the corresponding documentation areas.
The ideal candidate will contribute to creating logic that identifies where documentation updates are required, ensuring seamless integration between development and documentation processes. You will also work on modules that automatically generate draft documentation with relevant context, including feature descriptions and change details.
This role requires strong analytical and problem-solving skills, experience with natural language processing (NLP) or text analysis, and a passion for improving technical documentation accuracy, efficiency, and consistency through automation.
Proficiency in Python or JavaScript for backend automation and data processing.
- Experience with NLP frameworksfor text and comment analysis.
- Familiarity with Git, Jira APIs, and REST APIs for integration and data extraction.
- Knowledge of AI/ML models, prompt engineering, or automation tools
- Understanding of documentation systems, Markdown, or API doc structures.