Internship - AI Agent Developer, SteerAI
Role Overview
This six-month internship is intended for a motivated student or fresh graduate.
The intern will help build an intelligent monitoring and analytics system for an autonomous vehicle fleet to identify potential issues early.
Key Skills for This Role
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About SteerAI
SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council.
Its AI-powered autonomy stack supports logistics and defense industries by turning industrial vehicles into autonomous systems for complex off-road missions.
About the Role
This six-month internship is intended for a motivated student or fresh graduate.
The intern will help build an intelligent monitoring and analytics system for an autonomous vehicle fleet to identify potential issues early.
Key Responsibilities
- Build a data pipeline to collect and structure vehicle sensor telemetry for analysis.
- Develop a monitoring model and working dashboard that flags potential issues early.
- Maintain clean, documented code with proper API integration practices.
- Write comprehensive user documentation and training materials.
- Conduct a training session for the operations team on using the tool.
Qualifications
- Fresh graduate or final-year student in Computer Engineering, Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field.
- Strong understanding of AI/ML concepts and rule-based or trend-based analysis.
- Familiarity with Python, APIs, web services, data analysis, charting, or dashboard building.
- Strong problem-solving skills, ability to learn new technologies quickly, and a UX mindset.
- Ability to identify automation opportunities, translate them into technical solutions, and understand user needs and workflows.
What the Internship Offers
- Hands-on experience building production AI systems used in autonomous vehicle operations.
- Direct collaboration with the Technology Innovation Institute AI Center.
- Exposure to real-world AI challenges in the autonomous vehicle industry.
- Professional development in data engineering and applied analytics.
- Collaborative work with AI researchers and autonomous robotics experts.
- Ownership of an analytics pilot from data pipeline to working dashboard.
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