FTE/Full Time - Full Stack Developer with Gen AI - Whippany, NJ (Hybrid)

Quantum World Technologies Inc.; New Jersey; On-site; USD 90,000 - 130,000; Full time

Job summary

Quantum World Technologies Inc. is seeking a Full Stack Developer with strong expertise in modern frontend technologies, backend API integration, and architectural design.

The role emphasizes end-to-end web application architecture with a focus on frontend development and robust frontend-backend communication. The candidate should have hands-on experience in Python and Typescript, knowledge of Agentic AI and LLM concepts, and familiarity with RESTful APIs, GitHub workflows, and CI/CD pipelines

Qualifications

• 6–8 years of hands-on Python and Typescript experience.
• Strong understanding of frontend architecture, design patterns, and component-based development.
• Experience in RESTful API development and API integration, including frontend-backend communication.
• Familiarity with Agentic AI and LLM concepts.

Skills

Python

Typescript

Frontend architecture

API integration

RESTful API development

GitHub

CI/CD Pipelines

Agentic AI

LLM

Tools

GitHub

CI/CD Pipelines

FastAPI

Job description

We are looking for a Full Stack Developer with strong expertise in modern frontend technologies, backend API integration, and application architecture. Good knowledge on LLM, Agentic AI and vector databases. The ideal candidate should be comfortable discussing and designing end-to-end web application architectures, with a strong focus on frontend development and communication between frontend and backend systems.

Mandatory Skills

Strong Handson experience (6-8 yrs of exp) in Python Programming & Typescript

Good understanding of frontend architecture, design patterns, and component-based development.

Experience in RESTful API development (Fast API preferred), Hands-on experience with API integration, including front-end-to-backend communication.

Experience working on GitHub, CI/ CD Pipelines

Understanding of implementation of Agentic AI, Knowledge on how to implement solutions using LLM.