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Sobre este puesto de Java Software Engineer (Senior) - Strong AI Integration en EPOS

EPOS · Presencial · Ho Chi Minh City, Ho Chi Minh, Vietnam

About EPOS Vietnam

Established in 2009, EPOS Vietnam 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 Vietnam, 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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