AI Engineer

Doosan Corp • Minneapolis, MN

32d

About The Position

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