Software Engineer - AI Systems

About the Company

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, we develop innovative, scalable, and user-centric digital solutions that power EPOS products for thousands of SMEs across Asia.

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 to improve engineering productivity
• Integrate with AI/LLM APIs to enable automation and intelligent workflows
• 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, or related fields
• 2+ years of experience in backend software development
• Proficiency in Java, Golang, or Python
• Experience building RESTful APIs and backend services
• Good understanding of system design and distributed systems
• Experience with databases such as PostgreSQL, MySQL, Redis, or NoSQL
• Familiarity with Docker or containerized environments
• Intermediate English communication skills

Preferred Qualifications

• Experience working with LLM APIs (OpenAI, Claude, etc.)
• Familiarity with RAG pipelines, LLM orchestration, or AI application architectures
• Experience with vector databases (Pinecone, Weaviate, Milvus)
• Experience with event-driven architectures (Kafka, RabbitMQ)
• Experience working with Kubernetes in production environments
• Experience with cloud platforms (AWS, GCP, or Azure)
• Basic understanding of MLOps or AI infrastructure

Benefits

• Performance Bonus and biannual salary adjustments
• Full government public insurance and premium health insurance
• Annual health checks
• 14 days of annual leave plus additional days for seniority
• Laptop/MacBook and top-notch facilities provided
• Overseas travel opportunities based on performance
• Flexible working hours and 1-on-1 mentorship