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

Company: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.