Lead AI Engineer -

AIQuinta

Key Responsibility

- 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

Qualification Requirements

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

Compensation & Benefits

Insurance & 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

Career Development & Training

- Career Path clearly

- Projects in many domain

- Everyone is willing to support each other.

- Trained soft skills and SCRUM/Agile

- Taking part in a clear, pre-defined training path along the career path on Microsoft Learning platform, PluralSight, etc.

- Evaluating skill progress via courses’ exams

- Utilize unlimited courses on training platforms to broaden your own knowledge and competency

- Real environment provided (Cloud credit, software/tools licenses, etc.) for R&D; and practice

Extra Activities

- Office happy hours, Teambuilding, Company trip, Wedding, Birthday, …

- Sport clubs: soccer, badminton, games, …

Application Process

- Only one – round: about 60 minutes (HR and Technical Department);

- Interview Address: 51 Hoang Viet, Tan Binh, Ho Chi Minh

📌 AI Engineer Lead (Maiori)
🏢 New Ocean IS Co.
📍 Maiori