This internship is ideal for an ambitious student passionate about artificial intelligence, machine learning, and applying GenAI techniques to solve complex industrial problems.
What we offer:
- Career Development
- Competitive Compensation and Benefits
- Pay Transparency
- Global Opportunities
Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The hourly pay range for this role is estimated to be $19-$23 per hour at the time of the posting. Final compensation will be determined by various factors such as work location, student classification/year of study, experience, knowledge, and skills.
Tasks and Qualifications:
Key Responsibilities:
- Assist in building and testing agentic frameworks that interact with real-world warehouse datasets
- Develop and prompt large language models (LLMs) or multimodal agents to perform specific warehouse automation tasks
- Create tools and workflows to orchestrate multi-agent decision making, task planning, and execution
- Design and implement integration of AI agents into broader system architectures, collaborating with platform, infrastructure, and other software engineers to ensure seamless deployment
Basic Qualifications:
- Currently enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Artificial Intelligence, Robotics, Engineering, or a related field
- Hands-on experience with Python and at least one AI/ML library such as PyTorch or TensorFlow
- Familiarity with prompt engineering and use of frameworks such as LangChain, Hugging Face, or retrieval-augmented generation (RAG) systems
- Understanding of basic reinforcement learning, planning algorithms, or agent-based modeling
- Curiosity, creativity, and a strong desire to apply AI to industrial use cases
Preferred Qualifications:
- Experience using GenAI tools such as OpenAI, Gemini, Claude, or open-source LLMs
- Exposure to simulation environments like OpenAI Gym, Unity, Isaac Sim, or NVIDIA Omniverse
- Familiarity with cloud environments (GCP, Azure, or AWS)
- Prior coursework or research in agentic systems, computer vision, or digital twins
Why Join Us:
- Work on cutting-edge AI projects that impact real-world warehouse automation
- Join a fast-paced, collaborative AI team in the heart of Atlanta’s innovation hub
- Learn from experienced AI engineers and contribute meaningfully to internal innovations
- Gain exposure to GenAI tools and enterprise deployment practices
- Competitive internship compensation and potential for return opportunities