Full Stack Engineer

Job Title:

Experience:

Location:

About the Role

Full Stack Engineer

AI-enabled workflows

What You'll Do

• Build and maintain scalable backend services with

  Node.js

  ,

  Express

  , and

  TypeScript

• Develop fast, responsive UIs using

  React.js

  or

  Angular

  with

  Tailwind CSS

• Design, develop, and integrate RESTful APIs (and sometimes GraphQL)
• Implement AI features using

  GPT-4/4o

  ,

  OpenAI APIs

  , or

  LLM inference APIs

• Work with

  vector databases

  like

  Pinecone

  ,

  Weaviate

  , or

  Redis with Vector support

  for semantic search
• Write clean, modular, testable code across the stack
• Use both

  MongoDB

  and

  PostgreSQL

  depending on use case
• Deploy, monitor, and manage applications on

  AWS

  ,

  GCP

  , or other cloud platforms
• Contribute to DevOps processes – CI/CD, Dockerization, cloud deployments
• Collaborate closely with cross-functional teams – designers, product managers, and QA

What We're Looking For

• 3+ years of full-stack experience using

  MERN (MongoDB, Express, React, Node)

Angular

• Strong command of

  JavaScript

  and

  TypeScript

• Experience with

  LLMs

  ,

  OpenAI

  ,

  chatbot integrations

  , or

  vector search

• Good understanding of

  MongoDB

  and

  PostgreSQL

  (should know when to use what)

• Good command of Tailwind CSS

  – component-first styling, utility-first approach, custom themes

• Hands-on experience with Next.js

  – SSR, routing, API routes, performance optimization
• Solid grasp of

  state management using Zustand or Redux

  – store design, middleware, side effects
• Proficiency with

  cloud infrastructure

  –

  GCP

  ,

  AWS

  , or similar
• Familiarity with

  Docker

  ,

  Git

  ,

  CI/CD pipelines

• Strong foundation in writing secure, performant, and well-tested code
• Solid grasp of frontend performance, accessibility, and mobile responsiveness
• Ability to thrive in a fast-paced, agile development environment

Nice to Have(Preferably Have)

• Exposure to

  LangChain

  ,

  LlamaIndex

  , or

  RAG-based architectures

• Experience with

  vector databases

  like Pinecone, Weaviate, Qdrant, or Redis Vector Store
• Familiarity with

  LLM fine-tuning

  ,

  OpenAI/GPT APIs

  , and chatbot integration
• Experience working with

  Serverless functions

  ,

  WebSockets

  , or

  Pub/Sub systems

• Familiarity with monitoring/logging tools like

  Sentry

  ,

  Datadog

  , or

  New Relic



Perks

• Flexible working hours
• Health benefits and learning reimbursements
• Opportunities for growth and leadership
• Office in central Indore