Full Stack AI Developer Lead

14 hours ago


Kollam, Kerala, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000
Job Title: Full Stack AI Architect

We are seeking a passionate and sharp Full Stack Developer to architect and build the front-end and back-end systems for our contextual decision intelligence platform.

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 and promotes ethical decision-making.

  • Develop responsive, scalable web apps (React/TypeScript) for advanced enterprise analytics and data visualization.
  • 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.

Core Responsibilities:

Frontend & Visualization (40%):

  • Build responsive, scalable web apps (React/TypeScript) for advanced enterprise analytics and data visualization.
  • Develop 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.

Backend & API Development (35%):

  • Architect and implement fast, scalable GraphQL/REST APIs with sub-sec response times for analytics, entity resolution, and graph queries.
  • Develop and orchestrate microservices using Node.js, Python, Scala.
  • Build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high throughput.

Cloud Infrastructure & Data Platform (25%):

  • Deploy, scale, and monitor services on cloud platforms using Docker and Kubernetes.
  • Implement cloud functions and serverless analytics workflows.
  • Design and optimize large-scale data processing pipelines handling TB-scale data.

Required Qualifications:

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.
  • Advanced expertise with Hadoop and Apache Spark for distributed data processing and analytics.

Ethical AI Focus:

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

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