Full-Stack AI Engineer - THOUT.AI PTE. LTD.

Roles & Responsibilities

Job Description : Full-Stack AI Engineer – Computer Vision & Mobile Systems

Company : Thout.ai

Location : Singapore

About Us

Thout.ai is building next-generation automation tools that combine frontend, backend, and advanced AI to boost productivity and create value-driven content. We integrate agentic AI, computer vision, and mobile systems into scalable products, with a strong focus on AI safety, ethics, and user experience .

Role Overview

We are seeking a Full-Stack AI Engineer who can bridge software engineering and applied AI / ML research . This role involves designing intelligent end-to-end systems – from model training and deployment to frontend / mobile integration – that power real-world automation and productivity tools.

The ideal candidate has hands-on expertise in deep learning, computer vision, mobile AI development , and can contribute across the stack with backend APIs, databases, and frontend interfaces .

What You Will Do

• AI / ML Development : Build and optimize RAG architectures, transformer-based LLMs, and reinforcement learning pipelines for intelligent agents.
• Computer Vision : Design and deploy object detection, segmentation, and OCR models (YOLO, ONNX, OpenCV) for robotics, wearables, and accessibility applications.
• Backend Engineering : Develop scalable APIs (FastAPI / Flask), databases (SQL, MongoDB, FAISS) , and microservices to integrate AI into production workflows.
• Frontend & Mobile Integration : Collaborate on web / mobile interfaces (React, Android / iOS frameworks) and embed optimized AI models on wearable or mobile devices .
• Cloud & DevOps : Deploy systems on Azure, GCP, or AWS using Docker, Kubernetes, and CI / CD pipelines for reliable scaling.
• Knowledge Systems : Implement vector databases and semantic search pipelines for multimodal content retrieval.
• AI Safety & Governance : Apply responsible AI principles to ensure transparency, security, and compliance.

What We’re Looking For

Why Join Us?

Tell employers what skills you have

MongoDB

Kubernetes

Azure

Pipelines

Segmentation

User Experience

Software Engineering

Computer Vision

PyTorch

SQL

Python

Containerization

Docker

GCP

Databases

OCR