Doosan

AI Engineer

Doosan

full-time

Posted on:

Location Type: Hybrid

Location: Buford • Minnesota • North Carolina • United States

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Tech Stack

AWSAzureCloudDockerETLGraphQLPython

About the role

  • Lead the identification and analysis of complex GenAI opportunities in collaboration with product and business teams.
  • Transition prototypes into production applications using CI/CD pipelines, automated testing, and monitoring.
  • Design and implement scalable ETL pipelines to support model training and inference.
  • Deploy AI services in cloud-native environments and ensure robust observability.
  • Architect multi-step agents that integrate across APIs and enterprise systems.
  • Enhance existing frameworks with custom modules and optimization strategies.
  • Lead cross-functional integration projects with product, engineering, and operations teams.
  • Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing initiatives.

Requirements

  • Bachelor’s degree required; Master’s degree preferred in Computer Science, AI, or a related field.
  • 2-5 years of practical experience in AI/ML engineering, particularly in operationalizing AI models in production environments.
  • Proficient in Python programming; strong experience with LLM and Agent frameworks.
  • Knowledgeable in containerization technologies (e.g., Docker) and cloud platforms (e.g., AWS or Azure).
  • Experience building REST/GraphQL APIs and designing data pipelines.
  • Effective communication skills to convey technical information to various stakeholders.
  • Ability to work effectively in teams and lead cross-functional collaborations.
  • Exposure to MLOps practices (CI/CD, model monitoring) and discussions on data privacy and ethics.
  • Demonstrated ability to mentor and guide junior team members.
  • Strong analytical skills to approach and solve complex challenges effectively.
  • Open to adopting new technologies and enhancing workflows in a dynamic environment.
Benefits
  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities
  • Paid time off
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI/ML engineeringPython programmingLLM frameworksAgent frameworksETL pipelinesREST APIsGraphQL APIsCI/CDautomated testingmodel monitoring
Soft Skills
effective communicationteam collaborationleadershipmentoringanalytical skillsproblem-solvingknowledge sharingtechnical guidanceadaptabilitycross-functional collaboration
Certifications
Bachelor's degree in Computer ScienceMaster's degree in AI or related field