Lead AI Engineer

Top 3 reasons to join us

• People build people
• Latest technologies & international certificates
• Pay people to their true value

Job description

• Lead the design and delivery of AI systems (LLM apps, RAG, AI agents)
• Define and drive technical architecture aligned with business goals
• Design scalable, cloud-native systems using microservices
• Own the end-to-end lifecycle: design → build → deploy → monitor
• Build and optimize: LLM applications, RAG pipelines, AI agent workflows
• Ensure production readiness: scalability, reliability, performance, cost
• Implement HA, backup, and disaster recovery
• Maintain engineering best practices: code quality, CI/CD, testing
• Lead and mentor engineers
• Collaborate with cross-functional teams (Product, BA, QA, DevOps)
• Evaluate new technologies and drive AI-first development practices

Your skills and experience

Technical Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or related fields
• 5+ years working in AI/ML or related fields, 1–2 years in technical leadership or team lead roles
• Strong experience in system design and solution architecture for scalable applications
• Solid experience with AI/LLM systems: ,LLM APIs & integration, LangChain / LangGraph (or similar), NLP fundamentals
• Experience building RAG pipelines and AI agent systems
• Strong backend skills: Microservices architecture, REST APIs / WebSocket, Distributed & async systems
• Cloud & Infrastructure: AWS / Azure / GCP, Docker, Kubernetes
• Data & Messaging: SQL / NoSQL databases, Message queues (Kafka, RabbitMQ)
• DevOps: CI/CD pipelines ,Deployment & monitoring
• Understanding of reliability, security, and scalability
• Experience with Agile/Scrum
• Familiar with AI coding tools like Claude, GitHub Copilot, ChatGPT

Priorities (not a must-have)

• Experience with AI agent systems or LLM-based applications
• Hands-on work with RAG (Retrieval-Augmented Generation)
• Delivery of AI-driven or data-intensive systems
• Experience integrating AI into enterprise platforms
• Background in industrial/manufacturing domains
• Strong stakeholder management and communication skills

Personal Skills

• Strong technical leadership in AI system development
• Excellent problem-solving in complex, real-world AI systems
• Ability to communicate AI solutions to both technical and business stakeholders
• Strong cross-functional collaboration (Product, Data, Engineering)
• High ownership of AI system delivery and performance
• Ability to make architectural and technical decisions in production environments
• Adaptable and AI-first mindset, proactive in adopting new AI/LLM technologies

Why you'll love working here

Insurance and Salary

• Vietnam labor regulations
• Healthy Insurance
• Competitive and high salary
• Review salary twice a year (April and October (exceptional))
• 13th month-salary
• Reward of the end the year
• Raised on for achieving English and Technical certificates

Training and Onsite

• Onsite opportunity (Singapore or Australia)
• Trained to achieve MCP/MCSA/MCSD to follow Microsoft Learning Path: Application Development, Cloud Platform.
• Trained soft skills every week via courses.
• Dedicated MSDN account provided, and $150 monthly Azure credit

Career Path

• Clear Career Path
• Projects in many domain
• Everyone is willing to support each other.

Activities

• Office happy hours, Teambuilding, Company trip, Wedding, Birthday, …
• Sport clubs: soccer, badminton, games, …

RECRUITMENT PROCESS

• Only one – round: about 90 minutes (HR and Technical Department/ Managing Director);
• Only interview in person.