AI Engineer (Senior)

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 Lang. Graph, Lang. Chain, 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

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