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1 week ago
Sr. Full Stack AI Engineer
">Enterprise Analytics PlatformWe are seeking a passionate and sharp Full Stack Developer to architect and build the front-end and back-end systems for our platform.
The ideal candidate will work closely with our AI Engineers to create a scalable, intuitive platform that visualizes complex network relationships, delivers real-time risk scores, and integrates with advanced AI models.
This role requires building systems that handle visualization of graphs with millions of nodes, deliver sub-100ms API response times at scale, and process TB-scale datasets in real-time.
Responsibilities:- Frontend & Visualization (40%): Build rich data visualizations and enterprise dashboards handling millions of data points.
- Backend & API Development (35%): Develop scalable APIs that meet high-throughput requirements.
- Cloud Infrastructure & Data Platform (25%): Deploy, scale, and monitor services on cloud platforms using Kubernetes, Cloud Run, Pub/Sub.
Technical Skills: At least 5–8+ years' experience as a full stack engineer in analytics, big data, or enterprise environments. Strong hands-on experience with React, TypeScript, D3.js, WebGL, Node.js, Python, Scala.
DevOps & Deployment: Enable Scalable Deployment: Deploy and manage services on cloud platforms (AWS/Azure/GCP) using Docker and Kubernetes, optimizing for low-latency (
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