Full Stack Developer

Vantage Point
Irving, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Irving, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Application Performance Management
Azure
Code Review
Databases
Continuous Integration
Software Debugging
DevOps
Python
PostgreSQL
MongoDB
MySQL
Node.js
Scrum
Recommender Systems
Systems Integration
Web Application Frameworks
Chatbots
React
Large Language Models
Generative AI
GIT
Containerization
Kubernetes
REST
Docker
Microservices

Job description

  • Design, develop, and maintain full-stack web applications using React, Node.js, and Python.
  • Build and consume RESTful APIs and microservices to support e-commerce platforms.
  • Develop AI-powered solutions, including chatbot integrations, recommendation engines, search optimization, and automation tools.
  • Collaborate with product managers, business stakeholders, and cross-functional teams to gather requirements and deliver scalable solutions.
  • Optimize application performance, security, and reliability.
  • Integrate third-party services, payment gateways, and retail/e-commerce platforms.
  • Participate in code reviews, testing, debugging, and deployment activities.
  • Work within Agile/Scrum development methodologies.

Requirements

  • 5+ years of Full Stack Development experience.
  • Strong hands-on experience with React.js, Node.js, and Python.
  • Experience building scalable web applications and APIs.
  • Knowledge of AI/ML integrations, Generative AI, LLMs, AI agents, or chatbot development.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong understanding of databases such as PostgreSQL, MySQL, MongoDB, or similar.
  • Experience with Git, CI/CD pipelines, and containerization technologies.
  • Excellent problem-solving and communication skills., * Experience in Retail or E-commerce environments.
  • Knowledge of recommendation systems, personalization engines, or customer analytics.
  • Experience with vector databases, RAG architecture, OpenAI/Anthropic APIs, or AI frameworks.
  • Familiarity with Docker, Kubernetes, and modern DevOps practices.

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