Apreel is seeking a Principal AI Engineer to take technical ownership of a production-grade, AI-powered mobile coaching platform for a US-based health-tech client. You will lead the architecture, audit existing agent flows, and ensure the stability and scalability of a complex system built on Python, LangGraph, and FastAPI.
Key responsibilities
- Audit the existing AI core, including agent flows, LangGraph state machines, and datastore usage to assess operational risks.
- Build and harden evaluation harnesses, regression suites, and safety tests for agent flows.
- Set the technical direction for the AI core and lead the design of new agent capabilities.
- Own the production health of the AI surface and mentor a growing team of engineers.
- Represent the AI core in cross-team architecture discussions and manage knowledge transfer from the client.
Requirements
- Over 7 years of professional Python experience with a focus on production-grade systems.
- Deep expertise in LangGraph, LangChain, and FastAPI, including async patterns and streaming.
- Strong background in managing Celery and Redis in production environments.
- Proven experience with multi-datastore operations and complex concurrency in Python.
- Expertise in agent design patterns, prompt engineering, and LLM observability at scale.
What we offer
- Fully remote work environment.
- Opportunity to lead the technical strategy for a high-impact AI product.
- Engagement in a challenging health-tech project with significant autonomy.
- Collaboration with a professional team on cutting-edge AI orchestration.