AI & Data Science Co-op: Build Real AI Solutions

Doosan; Buford (GA); On-site; USD 32,000 - 36,000; Full time

Benefits offered by this job

Competitive pay

Gain experience on real‑life projects

Work with skilled professionals at a全球

Tuition reimbursement for co‑op/intern

Safety boots and safety glasses kosten

Job summary

Doosan Bobcat offers student co‑op and internship roles to develop Generative AI agents and RAG knowledge systems. You’ll work on an end‑to‑end AI product, from problem framing with product managers to deployment in a cloud/DevOps context.

You’ll gain hands-on experience with LLMs, vector databases, and modern data pipelines while collaborating with data scientists and DevOps professionals. Strong coding and communication skills are essential.

Qualifications

• Pursuing a bachelor’s degree in CS, data science or engineering.
• Familiar with Python, JavaScript/TypeScript, SQL/NoSQL and ETL pipelines.
• Experience building or consuming REST/GraphQL services.
• Familiar with AWS services (Bedrock, S3, Lambda, SageMaker).
• Commit to the full co‑op (8 months) or internship (4 months).
• Strong communication, teamwork and self‑starter attitude.

Responsibilities

• User Need Analysis – translate business pain points into specs for an intelligent agent.
• LLM Powered Conversation Engine – NLU, intent detection, dialogue management.
• API Integration – build and test REST/GraphQL endpoints to data sources.
• Testing & Debugging – unit/integration tests and agent pipeline issues.
• Knowledge Base Design – schema and data model for agent knowledge.

Skills

Python

JavaScript/TypeScript

Attention to detail

Team player

Interpersonal skills

Education

Bachelor’s degree in CS/Data Science/Engineering

Tools

SQL/NoSQL

ETL Pipelines

pandas

Spark

REST/GraphQL services

AWS (Bedrock, S3, Lambda, SageMaker)

Job description

Doosan Bobcat offers student co‑op and internship roles to develop Generative AI agents and RAG knowledge systems. You’ll work on an end‑to‑end AI product, from problem framing with product managers to deployment in a cloud/DevOps context.

You’ll gain hands-on experience with LLMs, vector databases, and modern data pipelines while collaborating with data scientists and DevOps professionals. Strong coding and communication skills are essential.