For the past year and a half, my passion project has been developing a comprehensive Python framework designed for building modular, asynchronous, and event-driven LLM applications. It features a component-based architecture encompassing state and context management, AI-composable workflows, and code parsing and analysis. The goal is to create an intelligent system with a persistent context/memory layer built dynamically via search while providing a natural-language interface for workflow composition. I'm eager to explore AI engineering opportunities that align with this trajectory.
Remote: Preferred
Willing to relocate: For the right opportunity
Technologies: Python, FastAPI, Pydantic, Asyncio, JavaScript, TypeScript, Node.js, Next.js, HTMX, Tailwind CSS, PostgreSQL, Redis, API design, LLM API integration, Docker, Git, REST APIs, React, SQLAlchemy, Pytest
Résumé/CV: https://www.linkedin.com/in/kaechle/
Email: timothy.kaechle@me.com
For the past year and a half, my passion project has been developing a comprehensive Python framework designed for building modular, asynchronous, and event-driven LLM applications. It features a component-based architecture encompassing state and context management, AI-composable workflows, and code parsing and analysis. The goal is to create an intelligent system with a persistent context/memory layer built dynamically via search while providing a natural-language interface for workflow composition. I'm eager to explore AI engineering opportunities that align with this trajectory.