About Terranova
Terranova is a hard-tech company developing innovative systems to reshape the physical world. We combine mechanical engineering, robotics, automation, and real-world field operations to tackle complex engineering challenges.
We're looking for an AI Engineer to help us build smarter, more efficient ways of working across our engineering, manufacturing, and field operations.
About the Role
As an AI Engineer at Terranova, you'll develop practical AI-powered tools, software, and analytical models that improve how our team designs, builds, tests, and operates complex machinery.
This is a highly hands-on role focused on solving real engineering and operational problems. You'll work closely with mechanical, electrical, software, and field engineers to identify inefficiencies, automate repetitive workflows, and turn operational data into actionable insights.
We're looking for someone who can independently identify opportunities, rapidly prototype solutions, and deploy tools that make a measurable difference in how the company operates.
What You'll Do
AI Tools & Workflow Automation
Design and build internal AI-powered tools that streamline engineering, manufacturing, and operational workflows.
Identify repetitive, manual, or cumbersome processes and develop software solutions to automate them.
Integrate AI tools with existing engineering software, databases, documentation, and operational systems.
Build internal applications that help engineers and operators access information, make decisions, and complete tasks more efficiently.
Data Analysis & Process Optimization
Develop systems to collect, track, and analyze metrics across shop operations, equipment performance, and field activities.
Analyze field injection data, including flow rates, pressures, material consumption, ground uplift, and operational efficiency.
Build dashboards, reporting tools, and data pipelines to visualize performance and identify opportunities for improvement.
Help quantify engineering and manufacturing processes to establish benchmarks, monitor performance, and reduce inefficiencies.
Develop models to predict operational outcomes, improve process parameters, and support engineering decisions.
Modeling & Applied AI
Build and deploy machine learning, statistical, and predictive models for engineering applications.
Use LLMs, AI agents, and other emerging technologies to automate complex workflows and improve internal productivity.
Develop tools for analyzing experimental results, identifying trends, and optimizing system performance.
Explore new applications of AI across robotics, manufacturing, equipment monitoring, and field operations.
Cross-Functional Engineering
Work directly with engineers, technicians, and operators to understand challenges and develop practical solutions.
Take projects from problem identification through prototyping, implementation, and iteration.
Build lightweight, maintainable tools that can be deployed quickly and improved based on real-world feedback.
Proactively identify opportunities where software, data, or AI can improve the company's efficiency and capabilities.
What We're Looking For
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 and backend logic to simple 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 the ability to independently take loosely defined problems and turn them into working solutions.
Interest in physical engineering systems, manufacturing, robotics, or industrial operations.
Ability to work closely with multidisciplinary teams and communicate technical concepts clearly.