Spring 2027 Generative AI Co‑op: Build Real AI Apps

Doosan Corporation; Fargo, Northern (ND, KY); Hybrid; USD 32,000 - 36,000; Full time

Benefits offered by this job

Competitive pay

Monthly stipend $250

Tuition reimbursement up to $1,400

Travel/interview reimbursements

Job summary

Doosan Bobcat NA US is offering a Data Science Student Experience for Spring 2027 in Buford, GA. The program supports Co-op (8 months) or Internship (4 months) with full-time engagement in corporate and production environments.

You will work on agent development, RAG knowledge bases, and deployment, gaining hands-on experience from data scientists and DevOps professionals. Aimed at students pursuing CS/DS/engineering degrees.

Qualifications

• Pursuing a bachelor’s degree in CS, DS, Engineering, or related field.
• Familiarity with Python and JavaScript/TypeScript is a plus.
• Experience with SQL/NoSQL, ETL pipelines, and data processing libraries (pandas, Spark).
• Experience building or consuming REST/GraphQL services and familiarity with AWS services is desirable.

Responsibilities

• Collaborate with product managers to identify business pain points and translate them into functional specifications for an intelligent agent.
• Implement LLM-powered conversation engine with natural language understanding, intent detection, and dialogue management.
• Build and test REST/GraphQL endpoints connecting the agent to external data sources (CRM, ERP, public APIs).
• Develop testing and debugging strategies for the agent pipeline, ensuring reliability and correctness.

Skills

Python

JavaScript/TypeScript

SQL/NoSQL

ETL Pipelines

REST/GraphQL

AWS SageMaker

Education

Pursuing BS in CS/DS/Engineering

Tools

Pandas

Spark

Job description

Doosan Bobcat NA US is offering a Data Science Student Experience for Spring 2027 in Buford, GA. The program supports Co-op (8 months) or Internship (4 months) with full-time engagement in corporate and production environments.

You will work on agent development, RAG knowledge bases, and deployment, gaining hands-on experience from data scientists and DevOps professionals. Aimed at students pursuing CS/DS/engineering degrees.