AI Engineer jobs in United States
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AI Engineer

Doosan Bobcat is a leading global manufacturer of construction, agriculture, landscaping, and grounds maintenance equipment. They are seeking an AI Engineer who will be responsible for designing, developing, and deploying AI solutions to drive enterprise-wide transformation, collaborating with various teams to address complex business challenges.

ConstructionIndustrial EngineeringIndustrial ManufacturingManufacturingMechanical Engineering

Responsibilities

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

Qualification

AI/ML engineeringPython programmingContainerization technologiesREST/GraphQL APIsData pipelinesMLOps practicesAnalytical skillsEffective communicationTeam collaborationMentoring skillsAdaptability

Required

Bachelor's degree required
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

Preferred

Master's degree preferred in Computer Science, AI, or a related field

Company

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N/A

Funding

Current Stage
Public Company
Total Funding
unknown
2016-11-18IPO
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