AI Application Engineer

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

AI Application Engineer role focused on developing, deploying, and maintaining AI/ML pipelines and applications for aircraft manufacturing and factory digitalization. Requires experience in end-to-end AI solutions, programming languages, ML model serving, and deployment on infrastructure. Experience with LLM Agent development and optimizing model serving performance is a plus.

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 of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
  • Hands-on experiences with 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)
  • Proficiency in at least one of the following areas: 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)
  • Knowledge of model deployment on infrastructure-agnostic environment (e.g., Kubernetes, Docker-Compose)
  • Knowledge of CI/CD tools (e.g., GitLab CI, Argo CD, Jenkins) and monitoring tools (e.g., Grafana, Prometheus)
  • Knowledge of ML Model development (e.g., PyTorch, TensorFlow) and deployment experiences (e.g., ONNX)
  • Effective verbal and written English communication skill

Nice to have

  • Master’s, Ph.D., or equivalent in Engineering, Computer Science, or Mathematics
  • Experience in developing speech-to-text and translation applications is a plus
  • knowledge with Cloud platform and service (e.g., AWS, Azure, GCP)
  • Certificated Kubernetes Administrator(CKA) certification is preferred.
  • Experience of LLM Agent development is a plus
  • Experience of optimizing end-to-end service performance including model serving is a plus
  • Participation in open source project development is a plus
  • 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
  • Machine learning model serving
  • model deployment on infrastructure-agnostic environment
  • ML Model development
  • deployment experiences

Other signals

  • Develop, deploy, and maintain AI/ML pipelines, and application
  • Machine learning model serving
  • Knowledge of ML Model development and deployment experiences