2 days ago
Responsibilities
- Build intelligent, low-latency data infrastructure for AI-driven analytics.
- Design systems for natural language querying and automated anomaly detection.
- Architect multi-step retrieval-augmented generation loops and hybrid storage layers.
- Pioneer workflows that integrate AI into the software development lifecycle.
- Establish automated evaluation benchmarks and responsible AI practices.
Requirements
- Experience in AI engineering and backend infrastructure.
- Familiarity with high-performance frameworks like Python and FastAPI.
- Knowledge of MLOps tools for model deployment and monitoring.
- Effective English communication skills for global collaboration.
- Hands-on experience with vector and graph databases is preferred.