AI Backend Engineer

Transition research prototypes into production-ready systems. Design scalable APIs for AI model deployment, create CI/CD pipelines for ML models, and optimize infrastructure for model serving.

Key Responsibilities

• Identify Smart Construction technical challenges
• Design scalable APIs for AI deployment
• Create CI/CD pipelines for ML models
• Optimize model serving infrastructure
• Integrate data sources and AI components
• Implement monitoring solutions

Requirements

• Transition research to production systems
• Bachelor's/Master's in CS or Software Engineering
• 3+ years relevant experience
• Proficient Python with strong coding practices
• API deployment from research/PoC experience
• Interest in AI with proactive learning
• Technical English communication

Nice to Have

• C++, C#, Rust programming
• Web frameworks (FastAPI, Flask, Django)
• Docker and Kubernetes
• MLOps frameworks (MLflow, Kubeflow)
• Monitoring tools (Prometheus, Grafana)
• Real-time data (Kafka, Redis)
• Japanese language