Job Description

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, build, and deploy production-ready AI agents to solve complex business problems.
• Research, experiment with, and develop AI solutions from scratch, turning ideas and prototypes into practical, production-ready applications.
• Integrate AI models, agents, and AI-powered capabilities into existing systems, backend services, and business workflows.
• Take ownership of the end-to-end AI development lifecycle, from research and architecture design to implementation, evaluation, deployment, and optimization.
• Build scalable and reliable AI services, optimizing system performance, accuracy, latency, and cost.
• Explore emerging AI technologies and frameworks to identify new opportunities and improve existing solutions.
• Collaborate with cross-functional teams to translate business needs into AI solutions and provide technical guidance to other engineers.

Requirements

• Bachelor’s Degree in Computer Science / Information Technology / Software Development or related fields.

Must have:

• 6+ years of software engineering experience, with strong backend development and system design skills.
• Proven experience building AI agents and developing AI solutions from scratch, with the ability to independently research, prototype, and implement solutions beyond basic LLM API integration.
• Experience integrating AI models, agents, or AI services into existing applications and production systems.
• Solid understanding of LLMs, AI agent architectures, and related technologies.
• Working knowledge of Java and the ability to understand or contribute to Java-based codebases.
• Experience building and deploying production-grade APIs, microservices, or AI applications.
• Good/Fluent English communication is mandatory.
• Strong problem-solving skills, technical ownership, and willingness to explore new AI technologies.

Nice to have:

• Experience with agent frameworks such as LangGraph, LangChain, CrewAI, or similar tools.
• Practical experience with RAG, vector databases, embeddings, and retrieval optimization.
• Knowledge of model training, fine-tuning, inference optimization, or open-source AI models.Experience with cloud platforms, Docker, CI/CD, and distributed systems.
• Experience with other programming languages and AI coding assistants.

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:
• Comprehensive Insurance Coverage:
• 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