AI Application Engineer

Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
About Us
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Our Objectives
Boeing Korea Engineering and Technology Center (BKETC) is seeking a highly skilled and motivated AI Application Engineer to join our cutting-edge research team. As an AI Application Engineer, you will play a pivotal role in advancing the field of artificial intelligence and machine learning through innovative AI application development , and the deployment and maintenance of machine learning techniques focused on aircraft manufacturing, factory digitalization, etc. Your work will have a direct impact on developing state-of-the-art AI/ML models and systems that address real-world challenges and push the boundaries of intelligent systems.
Job Responsibilities:

• Develop, deploy, and maintain AI/ML pipelines, and application

• Build software verification systems that comply with aviation safety requirements

• Work effectively within an international team using English communication

Basic Qualifications (Required Skills/Experience):

• Bachelor's degree with under 3 years' related work experience.

• 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

• Thorough knowledge of computer architecture and networks

• Strong sense of ownership, urgency, and drive

Preferred Qualifications (Desired Skills/Experience):

• 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

Applications for this position will be accepted until Apr. 30, 2026
Export Control Requirements:
This is not an Export Control position.
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
Not a Shift Worker (Korea, Republic of)
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.