About the role
About EPOS AI
Established in 2009, EPOS AI serves as the technical hub of EPOS Singapore, a leading provider of cutting-edge Point-of-Sale (POS) and SaaS solutions. Backed by Ant International — a global leader in digital payments and financial technology — we play a pivotal role in developing innovative, scalable, and user-centric digital solutions that power EPOS products. Our technologies enable thousands of SMEs in Singapore, and with ongoing expansion plans across Asia, to digitize and grow their operations through cost-effective and reliable platforms.
At EPOS AI, we cultivate a collaborative and dynamic culture driven by innovation and a passion for transforming businesses through technology. Join us to shape the future of digital solutions across Asia and beyond!
Key Contributions
- Design, develop, and maintain scalable Java backend services using Spring Boot and microservices architecture. - Collaborate with AI Engineers to integrate LLM-powered solutions and AI agents into EPOS’s existing systems and business workflows. - Develop APIs, backend components, and integration logic to connect AI services with internal systems, databases, and business applications. - Build and enhance AI agent workflows, including tool calling and multi-step execution, where required. - Ensure the performance, reliability, security, and scalability of AI-integrated backend services in production. - Troubleshoot integration issues, and maintain high standards of code quality and system maintainability. - Contribute to system architecture, code reviews, and technical improvements while mentoring junior engineers.
Requirements
- Bachelor’s degree in Computer Science / Information Technology / Software Engineering, or a related field. - At least 6 years of experience in Java backend development, with strong proficiency in Java, Spring frameworks (Spring Boot, JUnit, etc), RESTful APIs, and microservices architecture. - Solid experience with Cloud platforms (AWS, Azure, GCP) and cloud-based application development. - Solid understanding of system design, API integration, distributed systems, and production-grade software development. - Hands-on experience integrating LLMs, AI services, or AI agents into applications or backend systems. - Familiarity with AI agent workflows, tool/function calling, and LLM orchestration frameworks is a plus. - Experience with cloud platforms, Docker, Kubernetes, and CI/CD is an advantage. - Strong problem-solving, communication, and cross-functional collaboration skills. - Good English communication is mandatory.
Benefits
We are a multinational, product-driven company specializing in proprietary POS solutions — developing in-house and delivering directly to our worldwide customers.
Benefits
- Recognition & Rewards:
- Performance Bonus (subject to the company’s business results and the employee’s performance evaluation) - Biannual Performance Review and Salary Adjustment
- Comprehensive Insurance Coverage:
- Full government public insurance contributions based on gross salary - Premium health insurance from Liberty Insurance - Annual health check
- Clear career development and growth structure; Training sessions and Learning workshops - 14 days of annual leave and one additional day of leave for every year of service - Laptop/MacBook and top-notch facilities are provided based on each role - Agile/Scrum-based internal workflows for efficient and collaborative development - Company trips, parties and regular team-building activities; Weekly happy hour, coffee, snacks, and board games
Working Environment & Culture
- International Workplace: English-speaking environment - Positive and Open-Minded Culture: Engineers are encouraged to propose innovative solutions that enhance productivity and code quality - 1-on-1 Mentorship: Monthly coffee sessions with managers offer personalized feedback, goal setting, and career development opportunities - Flexible Working Hours: Promote work-life balance and individual productivity
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