Principal Graph Analytics Platform Engineer

Senior AI / ML Cloud Engineer – Graph Analytics Platform

Location : Remote

Company : ContexQ Pte Ltd

About ContexQ

ContexQ, a Singapore-based B2B SaaS AI startup, is dedicated to transforming financial crime, fraud, and risk management through a groundbreaking contextual decision intelligence platform. It processes billions of data points from various sources using Symbolic AI, Vector Search, Graph AI, and Agentic frameworks to deliver transparent, ethical, and actionable insights to clients.

Our mission is to empower organizations with unparalleled intelligence while maintaining the highest standards of integrity and societal impact.

This is an opportunity to solve intricate technical challenges, from real-time very large data processing to advanced analytics and optimisation on very large network graphs and interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence and promotes ethical decision-making.

By joining us, you will help build a NextGen Contextual Decision Intelligence Enterprise Analytics Platform that will set a new standard for explainable AI (XAI) in high-stakes industries.

Role Overview and Core Responsibilities

The role is a hands-on technical leadership position focused on architecting and implementing distributed graph computing solutions processing billions of entities and relationships for a next-generation data intelligence platform using a microservices architecture.

The successful candidate will lead the development of the Entity Resolution and Network Generation services.

The engineer is expected to be performance-obsessed, think in distributed systems, optimize for latency and throughput, and act as a self-directed technical leader who makes architectural decisions and implement them.

This is a foundational role offering the unique opportunity to design, build, and steer a product from its inception, establishing yourself as a key architect in one of the world's leading Graph analytics platforms.

What you will build / contribute to :

Entity Resolution Service

• Design and implement distributed entity resolution algorithms to process billions of records.
• Build blocking strategies (e.G., LSH, canopy clustering) optimized for Spark at scale.
• Create AI / ML based advanced matching with explainable AI (XAI).
• Implement incremental resolution supporting real-time and batch modes.
• Design APIs for entity lookup with sub-100ms latency requirements.
• Assist the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT (Graph transformers).

Network Generation Service

AI / ML Model Development & Explainable AI (XAI)

Cloud Infrastructure & Data Platform (Cross-Service Responsibilities)

Minimum Qualifications

Preferred Experience

Why Join Us?

This is a unique opportunity for the right candidate to solve intricate technical challenges, push the boundaries of what's possible with distributed graph computing and build a platform that fights financial crime with :

Join us in building the next generation of Graph analytics!

What are we looking for in the candidate?

Application Process