Description:

Design, develop, and deploy production-grade AI-powered backend systems.
Integrate LLMs and traditional ML models into performant, scalable architectures.

Requirements:

3–5+ years professional backend engineering experience in Python, FastAPI or Flask, and background processing.
Proven record of deploying Python applications to production.
Strong grasp of software design patterns and backend performance.
Applied machine learning experience, including training and maintaining models.
Familiarity with LLM integration and prompt engineering.
Experience with background processing using Celery or similar libraries.

Skills