
AI Architect with Enterprise Analytics Expertise
7 days ago
About the Role:
We're seeking a highly skilled and passionate full stack developer to join our team. As a key member of our engineering department, you will play a crucial role in architecting and building the front-end and back-end systems for our platform.
Key Responsibilities:
Develop responsive, scalable web applications for advanced enterprise analytics and data visualization using React and TypeScript. Build interactive graph/network visualizations capable of rendering millions of nodes and edges smoothly. Optimize frontend performance for real-time exploration of large, multi-dimensional datasets. Design interfaces for explainable AI and complex entity relationship analytics. Implement advanced rendering techniques such as WebGL and canvas virtualization for massive dataset visualization.
Requirements:
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. Advanced expertise with Hadoop and Apache Spark for distributed data processing and analytics. Experience building rich data visualizations and enterprise dashboards handling millions of data points. Proficient in API design (GraphQL/REST), microservices, and optimizing for real-time and large-scale data flows. Database exposure: PostgreSQL, Redis, Elasticsearch; experience designing or scaling custom graph engines a plus. GCP experience with services like GKE, Pub/Sub, BigQuery, and Cloud Run.
Education and Certifications:
PhD or Master's degree in Computer Science, Software Engineering, or a related field. Experience with agile development methodologies. Excellent communication skills for explaining complex technical ideas. Solid understanding of software engineering best practices and design patterns.
About Us:
We're a Singapore based B2B SaaS AI start-up redefining how organizations tackle some of the world's toughest challenges—financial crime, fraud, and risk management—through a groundbreaking contextual decision intelligence platform. We process trillions of data points from corporate registries, ESG, SDG, and supply chain data to deliver transparent, ethical, and actionable insights. Our mission is to empower organizations with unparalleled intelligence while upholding the highest standards of integrity and societal impact.
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