Sr. Full Stack AI Engineer

Senior Full Stack Engineer – Enterprise Analytics Platform

Location : Remote (Preference for India-based candidates)

Compensation : Competitive salary + significant equity package

Company : ContexQ (Singapore HQ)

About ContexQ

At ContexQ, a Singapore based B2B SaaS AI Start-up, we’re redefining how organizations tackle some of the world’s toughest challenges—financial crime, fraud, and risk management—through a groundbreaking contextual decision intelligence platform.

By marrying symbolic AI, vector, and graph AI, 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. Join us to build a NextGen Contextual Decision Intelligence Enterprise Analytics Platform that will set a new standard for

• explainable AI (XAI)
• in high-stakes industries.

The Opportunity

We’re seeking a passionate and sharp Full Stack Developer to architect and build the front-end and back-end systems for ContexQ’s platform. You’ll 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 is a chance to solve intricate technical challenges, from real-time very large data processing to interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence and promotes ethical decision-making.

Role Overview

We are looking for a

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.

Core Responsibilities

Frontend & Visualization (40%)

Backend & API Development (35%)

Cloud Infrastructure & Data Platform (25%)

Required Qualifications

Technical Skills

DevOps & Deployment

Enable Scalable Deployment : Deploy and manage services on cloud platforms (AWS / Azure / GCP) using Docker and Kubernetes, optimizing for low-latency (

Ethical & Explainable AI Focus Champion Transparency :

Integrate principles of fairness and interpretability into API design and frontend visualizations, ensuring outputs align with XAI goals and are understandable to users.

Tech Stack You'll Work With (Not Exhaustively listed here due to working on Stealth Mode)

Backend & Processing : Python (FastAPI), Scala (optional exploration for specific tasks), Apache Spark, Hadoop, Iceberg, Elasticsearch Databases : PostgreSQL, Milvus (Vector DB), MongoDB (NoSQL) Frontend : React, Tailwind CSS, D3.js, Plotly DevOps : Docker, Kubernetes, AWS / Azure / GCP, CI / CD tools (e.g., Jenkins, GitLab CI) AI Integration : Familiarity with integrating outputs from libraries like NetworkX, PyG (for GNNs), SHAP, LIME (for XAI).

Preferred Experience

General Qualifications :

PhD or Master's (Preferred) 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.

Mindset

What You'll Build

Our Technology

Why Join Us

Modern Stack

React, TypeScript, D3.js, Deck.gl, Node.js, Python, Scala, Hadoop, Spark, PostgreSQL, Redis, BigQuery, GCP, Docker, Kubernetes, Custom Graph Engine

Application Process

Join us in building the next generation of enterprise analytics. We provide comprehensive onboarding for our proprietary systems but expect quick ramp-up on core distributed systems concepts. If you're excited about pushing the boundaries of what's possible with data visualization and analytics at scale, we want to hear from you.