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
Strong programming skills in Python, PyTorch, TensorFlow, SQL, and JavaScript / TypeScript .Experience with backend frameworks (FastAPI / Flask) and databases ( MongoDB, SQL, FAISS ).Exposure to frontend / web development and mobile integration for AI-driven applications.Hands-on expertise in transformers, RAG, and computer vision models .Familiarity with robotics frameworks (ROS, Gazebo) is a plus.Skilled in cloud deployment (Azure, GCP) and containerization (Docker, Kubernetes) .Strong grounding in AI safety, trustworthy ML, and responsible AI practices .Why Join Us?
Build full-stack AI products that merge research with practical impact.Work on cutting-edge computer vision, LLM, and mobile AI systems .Opportunity to innovate in AI-powered automation and productivity tools .Join a culture of collaboration, ethical AI, and global impact .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