Full-Stack AI Engineer – Build AI Apps (Remote/Hybrid)

DevGate; Saddar; Hybrid; PKR 3,000,000 - 5,400,000; Full time

Job summary

DevGate is seeking a Full Stack AI Engineer to design, build and ship AI-powered products end to end. You will cover the backend, frontend and AI models, delivering scalable web apps, APIs and data pipelines.

You will work with product and engineering leads to own features from architecture through deployment and monitoring, with opportunities to shape AI-driven workflows and product strategy. Remote work options are available along with on-site/hybrid arrangements.

Qualifications

• 4+ years of professional software engineering experience, including full-stack work.
• Strong proficiency in Python and JavaScript/TypeScript.
• Backend experience with FastAPI, Django, Flask or Node.js.
• Frontend experience with React or Next.js.
• Experience building LLM-powered applications (RAG, tool calling, prompt design).

Responsibilities

• Design and build full stack applications with AI/ML capabilities at their core.
• Integrate and productionize LLMs through APIs, prompt engineering, and pipelines.
• Develop scalable backend services and REST/GraphQL APIs.
• Create responsive frontend interfaces for AI-driven workflows.
• Build and maintain data pipelines for ingestion, preprocessing and evaluation.
• Evaluate model quality, latency and cost, optimizing accordingly.
• Deploy and monitor services with CI/CD, containers and cloud infrastructure.
• Write clean, tested, documented code and participate in code reviews.
• Collaborate with cross-functional teams to turn requirements into solutions.

Skills

Python

JavaScript/TypeScript

Tools

FastAPI

Django

Flask

Node.js

React

Next.js

REST APIs

GraphQL

LLM integration

Docker

Git

CI/CD

AWS

GCP

Azure

Job description

DevGate is seeking a Full Stack AI Engineer to design, build and ship AI-powered products end to end. You will cover the backend, frontend and AI models, delivering scalable web apps, APIs and data pipelines.

You will work with product and engineering leads to own features from architecture through deployment and monitoring, with opportunities to shape AI-driven workflows and product strategy. Remote work options are available along with on-site/hybrid arrangements.