
Full-Stack AI Engineer
5 days ago
Company:
Location: Singapore
About Usis 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 OverviewWe 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.
- 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 .
- 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 .
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