Software Engineer/Senior Software Engineer - Node.js, TypeScript & AI

Productsquads Technolabs Llp; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Productsquads Technolabs Llp in Ahmedabad, India, seeks a Software Engineer / Senior Software Engineer specializing in Node.js, TypeScript and AI to design, develop, and deploy scalable backend applications and AI-powered solutions.

You will build production-ready APIs, integrate LLMs, and create intelligent backend services, collaborating with Product, Design, and Engineering teams to deliver high-quality technical solutions.

Qualifications

• 2-5 years of professional software development experience.
• Strong proficiency in Node.js and TypeScript.
• Hands-on experience with Generative AI, LLM integrations, or AI agent frameworks.
• Good understanding of REST APIs, GraphQL, databases, and backend architecture.
• Experience with BullMQ, Bull, Celery, Amazon SQS, or similar queue systems.
• Strong debugging, analytical, and problem-solving skills.
• Experience working in Agile development environments.
• Good verbal and written communication skills.

Responsibilities

• Design, develop, and maintain scalable backend services using Node.js and TypeScript.
• Build secure and high-performance RESTful and GraphQL APIs.
• Integrate LLMs and AI tools into product features.
• Develop AI-powered applications including retrieval-augmented generation (RAG) pipelines and AI agents.
• Build and maintain background job processing systems using BullMQ or similar.
• Collaborate with product, design, and cross-functional teams.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews, troubleshoot production issues, and optimize performance.
• Mentor junior developers and contribute to engineering initiatives.

Skills

Node.js

TypeScript

Generative AI

REST APIs

GraphQL

BullMQ

Bull

SQS

Agile

Communication

Tools

BullMQ

Bull

Celery

Amazon SQS

Job description

We are looking for a passionate Software Engineer / Senior Software Engineer Node.js, TypeScript & AI to design, develop, and deploy scalable backend applications and AI-powered solutions. In this role, you will work closely with Product, Design, and Engineering teams to build production-ready APIs, AI integrations, and intelligent backend services using modern technologies and best engineering practices.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Node.js and TypeScript.
• Build secure and high-performance RESTful and GraphQL APIs.
• Integrate Large Language Models (LLMs) and AI tools such as OpenAI, Anthropic, LangChain, LangGraph, and MCP into product features.
• Develop AI-powered applications including RAG pipelines and AI agents.
• Build and maintain background job processing systems using BullMQ (Redis-backed queues) or similar technologies.
• Collaborate with Product, Design, and cross-functional teams to deliver high-quality technical solutions.
• Write clean, maintainable, and well-tested code following industry best practices.
• Participate in code reviews, troubleshoot production issues, and optimize application performance.
• Mentor junior developers and contribute to technical discussions and engineering initiatives.

Required Skills & Qualifications

• 2 - 5 years of professional experience in software development.
• Strong proficiency in Node.js and TypeScript.
• Hands-on experience with Generative AI, LLM integrations, or AI agent frameworks.
• Good understanding of REST APIs, GraphQL, databases, and backend architecture.
• Experience with BullMQ, Bull, Celery, Amazon SQS, or similar queue management systems.
• Strong debugging, analytical, and problem-solving skills.
• Experience working in Agile development environments.
• Good verbal and written communication skills.

Preferred Skills

• Experience with AI frameworks such as LangChain, LangGraph, MCP, or CrewAI.
• Knowledge of vector databases including Pinecone, Weaviate, or pgvector.
• Experience building Retrieval-Augmented Generation (RAG) applications.
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with Docker and containerized deployments.
• Contributions to open-source projects or personal AI/Node.js projects are an added advantage.