- Design and build backend services in Python using FastAPI.
- Implement asynchronous job execution and status tracking with Redis, Celery, or Kafka.
- Integrate with internal and external LLM services.
- Store, version, and serve creative assets efficiently.
- Build and maintain external MCP servers that expose the platform to third-party AI agents and clients.
- Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage.
- Ensure stability, observability, and cost-efficient inference.
PostgreSQLPythonKafka+2 more