Full Stack Developer (TypeScript / Node.js / React / Next.js with AI/ML Exposure)

Title-

Full Stack Developer( TypeScript / Node.js / React / Next.js with AI/ML Exposure)
Location:

-On-site
Experience:

3–6 Years
Employment Type:

Full-Time

About the Role:

We are looking for a

Mid-Level Full Stack Developer

with strong hands-on experience in

TypeScript, Node.js, and React/Next.js , along with exposure to

AI/ML technologies

such as

Natural Language Processing (NLP), Chatbots, and RAG (Retrieval-Augmented Generation) systems .
You will be responsible for developing high-quality, scalable web applications and collaborating closely with our product, AI, and backend teams to deliver innovative solutions.

Key Responsibilities:
• Develop, maintain, and optimize full-stack applications using

TypeScript ,

Node.js , and

React/Next.js .
• Integrate

AI/ML-driven features

(e.g., Chatbots, NLP pipelines, RAG systems) into existing applications.
• Build and consume

RESTful APIs

and

GraphQL

endpoints.
• Collaborate with designers, AI engineers, and product managers to translate requirements into high-quality code.
• Ensure code quality through testing, peer reviews, and best practices in CI/CD.
• Debug performance bottlenecks and ensure scalability, reliability, and security of applications.
• Stay updated with emerging trends in

web technologies and AI/ML integration .

Mandatory Skills:
• Strong expertise in

TypeScript ,

Node.js , and

React/Next.js .
• Exposure to

AI/ML concepts

such as

NLP, Chatbots, or RAG systems .
• Proficiency in

REST APIs ,

Microservices , and

Database Integration (SQL/NoSQL) .
• Familiarity with

Git ,

Docker , and

CI/CD workflows .
• Solid understanding of

software design patterns

and

best development practices .

Good to Have:
• Experience with

Python , especially for AI/ML model integration.
• Knowledge of

LangChain ,

OpenAI API , or

LLM-based applications .
• Familiarity with

cloud platforms (AWS, Azure, or GCP) .
• Understanding of

serverless architecture

and

container orchestration (Kubernetes) .

Education:
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).

Why Join Us:
• Opportunity to work on

next-generation AI-powered applications .
• Collaborative and growth-oriented work culture.
• Exposure to the

latest web and AI technologies .
• Flexible working environment with performance-based growth opportunities.