Systems Engineer

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