AI Engineer

Bobcat Company • West Fargo, ND

4d

About The Position

At Doosan Bobcat, our success is powered by our people. Through our winning culture and one global team working together, we deliver the best products and service to our customers - and make the world a better place. Join our team today and start building your career with a worldwide leader.

Job Information An AI Engineer is responsible for owning the design, development, and production deployment of sophisticated generative AI and broader AI solutions that drive enterprise-wide transformation.
This role involves partnering with product, data science, and engineering leaders to translate complex business challenges into robust AI architectures and deliver high-impact, scalable applications.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level