Full-Stack Innovator

1 day ago

Meerut, Uttar Pradesh, India beBeeSenior Full time US$ 1,20,000 - US$ 2,00,000
Job Opportunity

We are seeking a highly skilled Senior Full Stack AI Engineer to lead the development of cutting-edge, user-facing solutions utilizing our proprietary graph database and high-performance analytics engine.

Key Responsibilities
  • Frontend & Visualization (40%): Design and implement responsive, scalable web applications 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. Create interfaces for explainable AI and complex entity relationship analytics.
  • Backend & API Development (35%): Architect and implement fast, scalable GraphQL/REST APIs with sub-second 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. Integrate backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database.
  • Cloud Infrastructure & Data Platform (25%): Deploy, scale, and monitor services on GCP (Kubernetes, GKE, Cloud Run, Pub/Sub). Implement cloud functions and serverless analytics workflows. Design and optimize large-scale data processing pipelines handling TB-scale data with Apache Hadoop and Spark. Collaborate with data engineers on ETL processes, data architecture, and real-time data integration strategies.
Required 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.
  • 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.

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