AI/ML Engineer

Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly. Integrate LLMs into applications using available APIs and frameworks. Develop and maintain REST API interactions to support data retrieval and system integration. Design or refine Postgres schemas to improve data organization and query performance.

Experience developing AI/ML applications with a focus on Retrieval-Augmented Generation (RAG) or similar retrieval-based workflows. Proficiency with Python and common data/AI libraries. Experience designing and using REST APIs to retrieve, process or integrate data. Familiarity with LLMs and integrating them into applications.

Desired Skills: Experience working with Docker Containers for development. Experience with vector databases, data transformation, AWS, and containerized development environments.