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Doosan

Senior AI Engineer

Doosan

. Lead end-to-end implementation of complex AI models and applications integrated into digital products and operational systems .

Posted 10/7/2026full-timeWest Fargo • North Dakota • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading the implementation of AI models and applications, ensuring ethical data usage and compliance while optimizing performance and scalability. Proficient in mentoring team members and collaborating across functions to deliver production-grade AI solutions.

Highest-signal resume keywords
Expert-Level Proficiency In PythonMajor LLM Frameworks (LangChain, Hugging Face, OpenAI APIs)Cloud-Native AI Deployment (AWS)Containerization (Docker, Kubernetes)MLOps Practices (CI/CD, Model Monitoring)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML EngineeringAI Application DevelopmentREST/GraphQL API DevelopmentData Pipeline DesignAI Agent OrchestrationPredictive MaintenanceDiagnostics AutomationCustomer Support AutomationModel Inference OptimizationArchitecture Compliance
Soft Skills
Effective CommunicationTeam CollaborationMentorshipAnalytical SkillsAdaptability
Tools & Technologies
AWSDockerKubernetesLangChainHugging FaceOpenAI APIs
Industry Keywords
AI SolutionsEthical Data UsagePrivacy ComplianceGovernance ApprovalsProduction-Grade Capabilities

Tech Stack

Tools & technologies
AWSCloudDockerGraphQLKubernetesPython

About the role

Key responsibilities & impact
  • Lead end-to-end implementation of complex AI models and applications integrated into digital products and operational systems
  • Translate business requirements into scalable AI solutions that perform reliably in production environments
  • Architect and develop high-performance AI applications and multi-step agents optimized for latency, accuracy, and maintainability
  • Extend and adapt agent frameworks for predictive maintenance, diagnostics, and customer support automation
  • Align development decisions with AI Enablement team guidance on approved architectural and integration patterns
  • Collaborate with product owners, software engineers, solution architects, business teams, and AI Enablement
  • Integrate AI features into production release cycles
  • Participate in security reviews, architecture compliance, and governance approvals
  • Ensure ethical data usage and adherence to privacy and compliance requirements
  • Evaluate emerging AI tools, frameworks, and techniques
  • Lead initiatives that transform prototypes into production-grade capabilities with measurable ROI
  • Recommend optimizations for model inference speed, scalability, and cost efficiency
  • Provide technical guidance and mentorship to AI Engineer I and II team members
  • Lead code reviews and establish engineering best practices
  • Manage third-party contractors and university projects

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s preferred
  • 5–7 years in AI/ML engineering with a proven track record of delivering production-grade solutions
  • Expert-level proficiency in Python, major LLM frameworks (LangChain, Hugging Face, OpenAI APIs), and AI agent orchestration
  • Strong knowledge of cloud-native AI deployment (AWS) and containerization (Docker, Kubernetes)
  • 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

Comp & perks
  • Equal Opportunity Employer
  • Disability and special-needs accommodation available
  • Opportunity to work for a worldwide leader in construction, agriculture, landscaping, and grounds maintenance equipment, attachments, and services
  • Mentorship and technical leadership opportunities