Full Stack ML Engineer

About the Job We are a small AI engineering team building intelligent software across language, vision, and multimodal domains . Our work focuses on

end-to-end AI systems —from backend services and data pipelines to user-facing applications—that integrate directly into real products. Alongside client projects, we are actively moving toward a

product-focused roadmap , and this role will contribute to both client-facing MVPs and internal product development.

Employment type Contract (4 months) Possibility of conversion to full-time

based on performance and fit Location Remote (India) Industry AI / Software Engineering / IT Services

About You You are a hands-on developer with 1–2 years of experience

who enjoys building real products and taking ownership of features. You are comfortable working across frontend and backend, and you’re curious about how AI-powered systems are built and deployed in production. You are motivated to learn, can work independently when needed, and are comfortable operating in a fast-moving, early-stage environment where requirements evolve quickly.

Day-to-Day Build and maintain

client-facing MVPs , owning frontend development and backend integration Develop

React-based web applications

with a focus on usability and performance Write and extend

Python backend services

(Flask, FastAPI, or similar) Integrate backend services with databases, APIs, and AI/ML components Deploy and manage applications on the cloud (GCP preferred) Contribute to

internal product MVPs , working closely with senior engineers and founders Participate in design discussions, implementation decisions, and iterative improvements

Skills & Experience Required 1–2 years of professional or hands-on development experience Strong working knowledge of

React

and modern frontend development Experience writing

Python backend code Familiarity with

REST APIs and frontend–backend integration Basic experience with cloud deployment

(GCP preferred) Nice to Have Exposure to machine learning or AI-powered applications Familiarity with Docker, CI/CD, or production deployments Basic understanding of MLOps or model serving workflows

Compensation ₹30,000 – ₹40,000 per month Contract role with clear scope and ownership

What We’re Looking For Someone who enjoys

building and shipping , not just following instructions Willingness to learn and grow with the team Comfort working across both

services and product development