AI Application Engineer

Boeing Boeing · Aerospace · Seoul, South Korea, South Korea

AI Application Engineer at Boeing Korea focusing on developing, deploying, and maintaining AI/ML pipelines and applications for aircraft manufacturing and factory digitalization. The role involves building software verification systems compliant with aviation safety requirements and working in an international team.

What you'd actually do

  1. Develop, deploy, and maintain AI/ML pipelines, and application
  2. Build software verification systems that comply with aviation safety requirements
  3. Work effectively within an international team using English communication

Skills

Required

  • Bachelor's degree
  • Designing, developing and deploying part of an end-to-end AI solutions in production environments
  • Proficiency in one of the modern programming languages (e.g., Python, JavaScript, TypeScript, Golang)
  • Front-end development with modern framework(e.g. React, NextJS)
  • Back-end development with Python (e.g., FastAPI)
  • Machine learning model serving (e.g. ONNX runtime, triton, bentoML)
  • Model deployment on infrastructure-agnostic environment (e.g., Kubernetes, Docker-Compose)
  • CI/CD tools (e.g., GitLab CI, Argo CD, Jenkins)
  • Monitoring tools (e.g., Grafana, Prometheus)
  • ML Model development (e.g., PyTorch, TensorFlow)
  • Deployment experiences (e.g., ONNX)
  • Effective verbal and written English communication skill

Nice to have

  • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 0+ years of related work experience OR Bachelor’s Degree and 4+ years of directly related work experience OR 8 years of related, relevant experience
  • Master’s, Ph.D., or equivalent in Engineering, Computer Science, or Mathematics
  • Experience in developing speech-to-text and translation applications
  • Cloud platform and service (e.g., AWS, Azure, GCP)
  • Certificated Kubernetes Administrator(CKA) certification
  • LLM Agent development
  • Optimizing end-to-end service performance including model serving
  • Participation in open source project development
  • Thorough knowledge of computer architecture and networks
  • Strong sense of ownership, urgency, and drive

What the JD emphasized

  • end-to-end AI solutions in production environments
  • aviation safety requirements

Other signals

  • AI application development
  • deployment and maintenance of machine learning techniques
  • state-of-the-art AI/ML models and systems