AI Platform Full-Stack Engineer | Build AI-Driven Apps

United States Digital Space LLC; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive Salary

Mediclaim: 10 Lacs coverage for you &/

Hybrid Work: Flexible PTO & remote

Growth & Development

Onsite Perks: Catered lunches & snacks

Team Bonding events

Job summary

United States Digital Space LLC is seeking a Full-Stack Engineer to join our AI Platform team. This role builds the core infrastructure, tools, and user-facing applications that enable development, deployment, and scaling of advanced AI systems.

You will work across the stack to deliver performant, intuitive, and reliable software that bridges complex AI capabilities with real-world user needs. Collaborate with ML engineers to integrate models, improve reliability, and enhance developer

Qualifications

• 3–5 years of experience in full-stack software engineering.
• Experience with modern frontend frameworks (React, TypeScript).
• Backend experience with Python, Go, or similar languages.

Responsibilities

• Design and build end-to-end features across frontend and backend systems.
• Develop scalable APIs and services that power AI-driven applications.
• Build intuitive user interfaces for interacting with AI models and data.
• Collaborate with ML engineers to integrate models into production systems.
• Improve platform reliability, performance, and developer experience.

Skills

React

TypeScript

Python

Go

APIs REST GraphQL

Cloud (AWS/GCP/Azure)

SQL/NoSQL

Product mindset

Fast-paced environments

Tools

Docker

Kubernetes

Job description

United States Digital Space LLC is seeking a Full-Stack Engineer to join our AI Platform team. This role builds the core infrastructure, tools, and user-facing applications that enable development, deployment, and scaling of advanced AI systems.

You will work across the stack to deliver performant, intuitive, and reliable software that bridges complex AI capabilities with real-world user needs. Collaborate with ML engineers to integrate models, improve reliability, and enhance developer