Role: The architect – ensuring the AI product is scalable, stable, and efficient.
Responsibilities
• Design and implement backend and system architecture.
• Build and maintain APIs, databases, and cloud infrastructure.
• Optimize performance, latency, and costs for AI inference and data pipelines.
• Set up monitoring, CI/CD, and deployment workflows for rapid shipping.
• Support the team with robust APIs and infrastructure for fast iteration.
Requirements
• Experience with distributed systems, databases(supabase), and cloud platforms (Vercel/Cloudfare).
• Proficient in backend technologies (Python, FastAPI, Node.js, etc.).
• Knowledge of AI model deployment (OpenAI, Hugging Face, Replicate, FAL, Modal, etc.).
• Strong DevOps / MLOps mindset, with automation and scalability focus.