AI Intern

The role

You will develop practical AI-powered tools, software, and analytical models to improve how the team designs, builds, tests, and operates complex machinery. You will work with mechanical, electrical, software, and field engineers to automate workflows and turn operational data into insights.

What you will do

• Design and build internal AI-powered tools to streamline workflows.
• Identify and automate repetitive, manual, or cumbersome processes.
• Integrate AI tools with existing engineering software, databases, and systems.
• Build internal applications to help engineers and operators access information.
• Develop systems to collect, track, and analyze metrics across operations.
• Analyze field injection data including flow rates, pressures, and material consumption.
• Build dashboards, reporting tools, and data pipelines.
• Develop models to predict operational outcomes and improve process parameters.
• Build and deploy machine learning, statistical, and predictive models.
• Work with engineers, technicians, and operators to develop practical solutions.

Required qualifications

• Strong proficiency in Python and experience building software tools, automation scripts, and data-processing pipelines.
• Experience working with LLM APIs, AI agents, machine learning frameworks, or applied AI systems.
• Ability to build end-to-end applications from data ingestion to user interfaces.
• Strong data analysis skills, including SQL, Pandas, and statistical modeling.
• Experience integrating APIs, databases, and third-party software platforms.
• Comfortable working with messy, incomplete, or unstructured real-world data.
• Strong problem-solving skills and ability to turn loosely defined problems into solutions.
• Interest in physical engineering systems, manufacturing, robotics, or industrial operations.
• Ability to work closely with multidisciplinary teams and communicate technical concepts clearly.

Nice to have

• Experience with industrial automation, PLCs, sensors, or equipment telemetry.
• Familiarity with mechanical engineering, fluid systems, hydraulics, or manufacturing processes.
• Experience with time-series data, predictive modeling, or optimization algorithms.
• Experience developing computer vision applications for industrial monitoring or quality control.
• Familiarity with CAD software, engineering simulations, or engineering data pipelines.
• Experience deploying internal tools using modern web frameworks and cloud services.

About the company

Terranova is a hard-tech company developing innovative systems to reshape the physical world. They combine mechanical engineering, robotics, automation, and real-world field operations to tackle complex engineering challenges.