Internship - AI Agent Developer, SteerAI

SteerAI

Abu Dhabi

On-site

AED 22,000 - 40,000

Part time

5 days ago
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Benefits offered by this job

Hands-on AI systems
TII AI Center collaboration
Real-world AI challenges
Data engineering training
Analytics pilot ownership

Job summary

SteerAI is seeking a motivated student or fresh graduate for a 6-month internship to build an intelligent monitoring and analytics system for our autonomous vehicle fleet in Abu Dhabi. You will design and implement a data pipeline to collect vehicle sensor telemetry and develop a monitoring tool to identify issues early.

You will maintain clean code with proper API integration, write comprehensive user documentation, and deliver training materials.

Qualifications

  • Fresh graduate or final year student in a relevant technical field.
  • Solid understanding of AI/ML concepts and analysis methods.
  • Proficiency in Python and APIs/web services.
  • Experience with data analysis tools (Pandas/NumPy) and dashboard building.
  • Strong problem-solving and quick learning abilities.
  • UX mindset and ability to design intuitive interfaces.
  • Excellent communication to understand user needs.

Responsibilities

  • Build a data pipeline to collect and structure vehicle sensor telemetry.
  • Develop a monitoring model and dashboard to flag potential issues.
  • Maintain clean, documented code with proper API integration.
  • Create user documentation and training materials.
  • Conduct a training session for operations on the tool.

Skills

AI/ML concepts
Python
APIs / Web services
Data analysis (Pandas/NumPy)
UX mindset
Communication skills
Problem solving
Automation opportunities

Education

Bachelors in Computer Engineering/CS/AI/SE/DS

Tools

Pandas
NumPy
API integration
Dashboards

Job description

SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transform operations and protect organizations' most important assets: their workforce.

About the role

We are seeking a motivated student / fresh graduate for a 6 Months internship to help build an intelligent monitoring and analytics system for our autonomous vehicle fleet. You will build a data pipeline and a monitoring tool that helps 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 related technical field

Strong understanding of AI/ML concepts and rule-based or trend-based analysis

Familiarity with Python programming language

Basic understanding of APIs and web services

Familiarity with data analysis (e.g., pandas/NumPy) and basic charting or dashboard-building

Strong problem-solving skills and ability to learn new technologies quickly

User experience (UX) mindset and ability to design intuitive interfaces

Ability to identify automation opportunities and translate them into technical solutions

Strong communication skills to understand user needs and workflows

What We Offer
  • Hands-on experience building production AI systems used in autonomous vehicle operations
  • Direct collaboration with Technology Innovation Institute (TII) AI Center
  • Exposure to real-world AI challenges in autonomous vehicle industry
  • Professional development in data engineering and applied analytics
  • Collaborative environment with AI researchers and autonomous robotics experts
  • Hands-on ownership of an analytics pilot, from data pipeline to working dashboard
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