Full-Stack AI Engineer

15 hours ago

Singapore THOUT.AI PTE. LTD. Full time

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 . #J-18808-Ljbffr

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