Forward Deployed Full-Stack Engineer

Provana; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Quantbot is seeking a Forward Deployed Full-Stack Engineer to build scalable AI-powered web apps using Next.js, Node.js, and Azure AI Services. You will design robust cloud-native architectures, integrate LLMs, and push real-time AI experiences on Azure.

This role demands strong backend/API design and frontend proficiency in React/TypeScript. Based in India (Uttar Pradesh, Dadri), the position offers growth in a fast-moving AI engineering environment with modern cloud infrastructure and data

Qualifications

• Experience building scalable AI-driven web apps.
• Experience with LLMs and ML pipelines.
• Strong backend architecture and API design.

Responsibilities

• Develop scalable AI-driven web applications.
• Integrate LLMs and ML pipelines into user-facing products.
• Design robust backend architectures and APIs.
• Build and optimize cloud-native solutions on Azure.
• Drive performance improvements for real-time AI experiences.

Skills

Next.js

React.js

Tailwind CSS

Node.js

TypeScript

GraphQL

Tools

Azure Cloud

Azure OpenAI

LangChain

LlamaIndex

PostgreSQL

Cosmos DB

Pinecone

Redux Toolkit

Zustand

React Query

App Services

AKS

DevOps

Job description

Batch: 2023/2024/2025/2026.

About the Role:

• We're looking for a Forward Deployed Full-Stack Engineer to help build and scale intelligent web applications using Next.js, Node.js, Azure AI Services, and modern cloud infrastructure.

Key Skills:

• Next.js, React.js, Tailwind CSS
• Node.js, TypeScript, GraphQL
• Azure Cloud (App Services, Functions, AKS, DevOps)
• Azure OpenAI, LLMs, LangChain, LlamaIndex
• PostgreSQL, Cosmos DB, Pinecone
• Redux Toolkit, Zustand, React Query

What You'll Do:

• Develop scalable AI-driven web applications
• Integrate LLMs and ML pipelines into user-facing products
• Design robust backend architectures and APIs
• Build and optimize cloud-native solutions on Azure
• Drive performance improvements for real-time AI experiences