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

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