As a full-time Senior AI Context Engineer working remotely, the candidate will transform raw enterprise information into high-quality context for AI applications, focusing on data extraction, semantic structuring, and retrieval accuracy while collaborating with cross-functional teams. Key responsibilities Build and refine workflows for extracting and chunking structured and unstructured information to enhance AI context quality Implement vector indexing strategies and metadata tagging to optimize retrieval performance and ensure compliance with healthcare regulations Establish automated evaluation frameworks to monitor context quality and retrieval relevance over time Required qualifications 5+ years of experience in backend software engineering, applied machine learning, or data-centric application development 1-2 years of hands-on experience optimizing AI architectures and vector retrieval pipelines for LLM applications Advanced proficiency in Python and SQL, with familiarity in orchestration tools like Airflow or Prefect Deep experience with parsing frameworks for processing complex documents Practical experience handling sensitive healthcare data within high-compliance environments