We're looking for an engineer who shares our passion for data and thrives on solving complex algorithmic and system challenges. The ideal candidate has strong experience developing and deploying large-scale services in production, with expertise in Python, distributed systems, and either graph technologies or ML infrastructure.

What you'll do

• Build microservices and tools for online data/label management
• Build services for AI applications
• Manage CI/CD of the microservices and related databases
• Coordinate with ML engineers to efficiently deploy ML models
• Coordinate with the DevOps team to follow the best practices in engineering and operation

Qualifications

• Must-have Skills
• • Strong understanding of microservices with REST or gRPC in Python
  • Strong understanding of data models, preferably in MongoDB
  • Obsession with quality code that is both testable and maintainable
  • Familiarity with ML life cycles
  • Familiarity with preprocessing and parsing text
• Nice-to-have Skills
• • Familiarity with graph data models
  • Familiarity with Large Language Models and prompting design
  • Exposure to IoT or building systems