AI Engineer Lead

New Ocean IS Co., Ltd.; Maiori; On-site; EUR 18,000 - 30,000; Full time

Benefits offered by this job

Healthy Insurance

Competitive salary

13th month salary

Salary reviews twice a year

Job summary

AIQuinta in Ho Chi Minh City is seeking a Lead AI Engineer to design and deliver AI systems, including LLM apps, RAG pipelines, and AI agent workflows. You will own architecture decisions, drive scalable cloud-native solutions, and mentor a growing engineering team.

Candidates should have 5+ years in AI/ML with leadership experience, strong backend and cloud infrastructure skills, and a track record of delivering reliable, performant systems. On-site role with competitive compensation.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Leadership

AI system design

LLM integration

Microservices

Cloud platforms

CI/CD

Kubernetes

Kafka

Redis

LangChain

Education

Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or related fields

Tools

LangChain / LangGraph

LLM APIs

REST APIs / WebSocket

AWS / Azure / GCP

Docker

Kubernetes

Kafka

Job description

Lead AI Engineer - Job Description

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