AI Engineer

AI Engineer - Job Description

Key Responsibility

• Adopt an AI-first approach in designing and delivering solutions, leveraging AI/LLMs to optimize development, decision-making, and productivity.
• Design, develop, and deploy scalable AI/ML models to solve real-world problems.
• Build LLM-powered applications such as chatbots, copilots, and AI agents.
• Design and implement agent-based systems capable of reasoning, tool usage, and multi-step task execution.
• Develop and optimize RAG pipelines (embedding, retrieval, re-ranking) to ensure high accuracy and performance.
• Evaluate and select appropriate models and architectures (LLMs, classification, regression, clustering, recommendation, etc.).
• Fine-tune and optimize models for accuracy, latency, and cost efficiency.
• Leverage AI tools (e.g., GPT, Copilot, Claude) to automate workflows and enhance engineering productivity.
• Build and maintain LLM orchestration pipelines using frameworks such as LangChain, LangGraph or similar.
• Monitor, evaluate, and improve model performance using tools such as LangSmith or equivalent.
• Collaborate with product, backend, and infrastructure teams to deliver end-to-end AI solutions.
• Take ownership of assigned modules or projects and deliver results independently.
• Continuously explore and integrate cutting-edge AI technologies into products and internal workflows.
• Deliver measurable impact through AI solutions (e.g., improved accuracy, reduced cost, increased automation rate).
• Lead or co-lead AI/ML initiatives, ensuring technical direction, quality, and timely delivery.
• Provide technical guidance and mentorship to junior engineers or team members.
• Participate in solution architecture design and make key technical decisions for AI systems.
• Collaborate with stakeholders to define AI solution roadmap and translate business needs into technical implementations.
• Review code, models, and system design to ensure best practices and scalability.

Qualification Requirements

Technical Skills

• Strong AI-first mindset: proactively leveraging AI tools to improve efficiency, automate tasks, and support decision-making.
• Bachelor’s degree in Computer Science, Artificial Intelligence, or related field (or equivalent experience).
• 4+ years of experience as an AI Engineer or similar role.
• Proficient in Python and familiar with ML/AI frameworks.
• Hands-on experience building and deploying AI/ML models in production.
• Strong ability to work independently: from research and prototyping to implementation and testing.
• Experience working with cloud platforms (AWS, GCP, Azure).
• Experience in leading or mentoring a small team (or owning end-to-end AI modules/projects).

Priorities (not a must-have)

• Experience with RAG and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Experience building real-world AI products (chatbots, virtual assistants, smart search systems).
• Experience designing APIs or integrating AI into applications.
• Strong prompt engineering and workflow orchestration skills.
• Ability to read research papers and rapidly prototype new ideas.
• Experience as a technical lead or owning AI solutions in production environments.
• Experience working in cross-functional teams and driving technical alignment.

Personal Skills

• Good communication skills in Vietnamese and English (written and spoken).
• Self-driven, proactive, and high sense of responsibility.
• Strong analytical thinking and attention to detail.
• Team player with a collaborative mindset.

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

Please send your CV to rec[@]nois[.]vn to proceed or contact +84 28 6681 0782 (HR Dept) for more information.