AI Lead Engineer
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
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