AI-Accelerated Full-Stack Engineer at Coditude — India

About The Role

Role Overview

We are looking for a high-initiative,

AI-Enabled Full-Stack Developer

with 1–3 years of professional experience to join our fast-paced engineering team. This isn’t a traditional early-career role. We don't do micromanagement, and we don't do hand-holding.

You are someone who treats modern AI tools (

Claude

, Cursor, Copilot) as a natural extension of your workflow to architect, debug, and ship production-ready code incredibly fast. If you are enthusiastic about taking extreme ownership of features from day one, figuring out complex problems independently, and moving with high velocity, you will thrive here.

Key Responsibilities

End-to-End Delivery

Own features from conception to deployment, writing clean, maintainable code across the frontend and backend.

AI-Native Workflows

Actively leverage AI development workflows (using Claude, LLMs, and next-gen IDEs) to accelerate delivery, automate repetitive tasks, and bypass traditional roadblocks.

Database & Storage Management

Design, query, and optimize database schemas while handling cloud storage integration for application assets.

Containerization & Deployment

Use Docker to containerize applications, ensuring seamless deployment and environment consistency from local setup to the cloud.

Independent Problem Solving

Research, troubleshoot, and resolve complex technical challenges independently before asking for help.

Technical Stack & Requirements

Experience

1–3 years of professional software development experience.

Frontend

Strong proficiency in
Next.js
and React.

Backend

Hands-on experience building robust APIs using
Node.js
and/or

Python

Databases

Solid understanding of relational (e.g., PostgreSQL, MySQL) or non-relational (e.g., MongoDB) databases.

Cloud Infrastructure (AWS)

An

overall understanding of cloud computing concepts
. Hands-on familiarity with deploying, hosting, and managing applications on AWS—specifically utilizing

EC2

or

ECS

, alongside cloud storage solutions like

AWS S3

Docker

Basic-to-medium proficiency with

Docker

(writing Dockerfiles, managing container lifecycles, and managing multi-container local environments).

AI Fluent

Expert-level familiarity with leveraging

Claude

(via Workbench, APIs, or advanced prompting techniques) and other AI coding assistants to maximize your engineering velocity.

Soft Skills & Culture Fit

Zero Hand-Holding

You are highly resourceful. When you get stuck, your first instinct is to dive into docs, logs, or prompt your AI assistant to help you debug before escalating.

High Initiative

You don't wait to be told what to do. If you see a broken process, a performance bottleneck, or an optimization opportunity, you take charge and fix it.