AI Engineer

Overview
Design, develop, and deploy advanced AI systems to support the company’s Smart Manufacturing initiatives. This role spans the full AI development lifecycle – from data preprocessing and model development to production deployment – addressing real- world challenges in manufacturing automation, computer vision, and enterprise AI applications.
Key Responsibilities

Communicate technical concepts clearly to both technical and non- technical audiences.
Design and develop AI/ML/DL solutions including predictive models, computer vision pipelines, LLM- powered applications, and AI agent workflows.
Develop AI automation workflows and agentic systems that reduce manual effort across manufacturing operations.
Monitor model performance, identify degradation, and iterate based on feedback from stakeholders.
Deploy models to production environments, optimize inference performance, and ensure system scalability and reliability.
Build and maintain integrations with Manufacturing Execution Systems (MES) and other factory data sources.
Stay current with AI research and proactively propose innovative solutions aligned with business goals.
Collaborate with cross- functional teams (Manufacturing, Process Engineering, Quality & Reliability) to translate operational problems into AI- driven solutions.

Required Qualifications

English proficiency: TOEIC 605+ or equivalent (IELTS / TOEFL iBT accepted)
Experience deploying models to production environments (REST APIs, containerization)
1- 3 years of experience in Software Engineering or AI/ML Engineering
Strong foundation in Python, data structures, and algorithms
Familiarity with LLMs, prompt engineering, and agentic AI frameworks (e.g., LangChain, LlamaIndex)
Hands- on experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit- learn)
Bachelor&039;s degree or higher in Computer Science, Data Science, Electrical Engineering, or a related field

Preferred Qualifications

Familiarity with AI agent frameworks and tool- use patterns (e.g., function calling, RAG pipelines)
Experience with MES systems or industrial data platforms
Experience with Computer Vision libraries and frameworks (OpenCV, YOLO, torchvision)
Experience with Statistical Process Control (SPC) or manufacturing quality methodologies (Six Sigma, 8D, 5 Whys)

Application
CV in English. Contacted candidates will be invited to a two- round interview process: a presentation round (previous job experience, achievements) followed by a technical interview

Chế độ bảo hiểm, Du Lịch, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương

Cập nhật gần nhất lúc: 2026-04-03 12:30:03