AI Engineer (Senior)
Summary
Senior AI Engineer at EPOS Vietnam (technical hub of EPOS Singapore, a POS/SaaS provider backed by Ant International) researches, builds, and deploys production-ready AI agents, integrating LLM-powered capabilities into backend services for POS products. Requires 6+ years backend engineering, Java, LLM/agent expertise, and fluent English; on-site in Ho Chi Minh City.
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:
- 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
Skills
As published by workable · 1 question · 1 written answer
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- What is your current English speaking level?
