Deskripsi Pekerjaan
Are you a passionate engineer looking to shape the future of AI-driven solutions? RiDiK, a subsidiary of the Nasdaq-listed CLPS, is seeking a talented Backend Engineer (AI) to join our high-impact team in Singapore. In this role, you will play a pivotal part in architecting and scaling robust backend systems that power cutting-edge AI applications.
We operate at the intersection of innovation and enterprise-grade performance. You will collaborate with cross-functional teams to design cloud-native infrastructures, optimize data pipelines, and integrate advanced machine learning models into production environments. This is a unique opportunity to leverage your technical expertise within a globally recognized organization while working on high-visibility projects that bridge the gap between complex AI algorithms and real-world user experiences.
If you thrive in dynamic, agile environments and are eager to tackle challenges in distributed systems and AI integration, we want to hear from you.
Tanggung Jawab
- Design, develop, and maintain high-performance, scalable backend services for AI-powered applications.
- Collaborate with Data Scientists to deploy and optimize machine learning models in a production-ready environment.
- Architect cloud-native infrastructure using AWS, Azure, or GCP to ensure high availability and reliability.
- Optimize database queries and system performance to handle large-scale data processing requirements.
- Build and manage robust RESTful APIs for seamless integration with frontend and mobile applications.
- Implement stringent security measures and data privacy protocols across the entire backend architecture.
- Participate in code reviews, technical documentation, and agile team rituals to maintain code quality and team velocity.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
- 3+ years of professional experience in backend development using Python, Go, or Java.
- Proven experience with containerization technologies such as Docker and Kubernetes.
- Strong working knowledge of cloud-native architecture (AWS/Azure/GCP) and CI/CD pipelines.
- Experience integrating AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain) into backend systems.
- Proficiency in both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
- Excellent analytical, problem-solving skills, and the ability to work in a fast-paced contract environment.