Software Engineer - AI Systems (Middle/Senior)

About this role

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 Responsibilities Design and develop scalable backend systems and services using Java, Golang, or Python Build APIs and platforms that integrate with AI services and LLM-based systems Develop internal tools and smart infrastructure that improve engineering productivity Integrate with AI/LLM APIs to enable automation, intelligent workflows, and AI-powered features Collaborate with AI Engineers and Product teams to deliver AI-enabled solutions Build reliable and scalable microservices and distributed systems Optimize system performance, reliability, and scalability Troubleshoot production issues and continuously improve system stability Contribute to system architecture, engineering standards, testing, and documentation Explore and adopt AI-native development practices and tools Requirements

Bachelor’s Degree in Computer Science / Information Technology / Software Development or related fields Must have: 2+ years of experience in backend software development Proficiency in at least one of the following languages: Java / Golang / Python Experience building RESTful APIs and backend services Good understanding of system design and distributed systems Experience working with databases (PostgreSQL, MySQL, Redis, or NoSQL) Familiarity with Docker or containerized environments Experience with cloud platforms (AWS, GCP, or Azure) is a plus Strong problem-solving skills and engineering ownership Intermediate English communication Nice to have: Experience working with LLM APIs (OpenAI, Claude, etc.) Experience building applications that call and orchestrate external APIs Familiarity with RAG pipelines, LLM orchestration, or AI application architectures Experience with vector databases (Pinecone, Weaviate, Milvus) Familiarity with event-driven architectures (Kafka, RabbitMQ) Experience working with Kubernetes in production environments Basic understanding of MLOps or AI infrastructure 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 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 Overseas travel opportunities based on the individual performance and policies for each evaluation period 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