Apreel is seeking a Principal Python + LangGraph Engineer to take technical ownership of a production AI-powered mobile coaching platform for a US-based health-tech client. You will lead the audit of the existing AI core, define future architecture, and ensure the stability and scalability of complex agent-based systems.
Key responsibilities
- Audit the existing AI core, including agent flows, LangGraph state machines, and integration patterns.
- Produce comprehensive assessments of operational risks, failure modes, and token cost efficiency.
- 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-based features.
- Own the production health of the AI surface and mentor a growing team of engineers.
Requirements
- Over 7 years of professional Python experience with a focus on production-grade systems.
- Deep expertise in LangGraph, including state graphs, checkpoints, and multi-agent supervision.
- Strong proficiency in FastAPI, Celery, and managing complex asynchronous concurrency.
- Extensive experience with OpenAI API at scale, including cost optimization and observability.
- Solid understanding of agent design patterns, prompt engineering, and testing disciplines.
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 complex architectural requirements.