Ai Engineer Lead
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, Dev Ops)
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, Lang Chain / Lang Graph (or similar), NLP fundamentals
Experience building RAG pipelines and AI agent systems
Strong backend skills: Microservices architecture, REST APIs / Web Socket, Distributed & async systems
Cloud & Infrastructure: AWS / Azure / GCP, Docker, Kubernetes
Data & Messaging: SQL / No SQL databases, Message queues (Kafka, Rabbit MQ)
Dev Ops: CI/CD pipelines , Deployment & monitoring
Understanding of reliability, security, and scalability
Experience with Agile/Scrum
Familiar with AI coding tools like Claude, Git Hub Copilot, Chat GPT 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, Plural Sight, 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
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, Dev Ops)
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, Lang Chain / Lang Graph (or similar), NLP fundamentals
Experience building RAG pipelines and AI agent systems
Strong backend skills: Microservices architecture, REST APIs / Web Socket, Distributed & async systems
Cloud & Infrastructure: AWS / Azure / GCP, Docker, Kubernetes
Data & Messaging: SQL / No SQL databases, Message queues (Kafka, Rabbit MQ)
Dev Ops: CI/CD pipelines , Deployment & monitoring
Understanding of reliability, security, and scalability
Experience with Agile/Scrum
Familiar with AI coding tools like Claude, Git Hub Copilot, Chat GPT 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, Plural Sight, 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