Field AI
AI Solutions Engineer (Fixed-Term)
About this role
FieldAI seeks an AI Solutions Engineer to develop and deploy production-ready AI systems for real-world robotics applications. You'll partner with customers to translate complex operational challenges into practical solutions, bridging the gap between prototype and field deployment.
What you'll do
- Partner with strategic customers to understand their operational needs and design tailored AI solutions
- Develop and optimize production AI systems for real robots and field deployments
- Own projects from concept through hardware testing and customer deployment
- Iterate on solutions based on real-world performance and field feedback
- Combine engineering rigor with machine learning to solve complex robotics problems
- Support customer adoption and success of deployed AI solutions
What they're looking for
- AI and machine learning engineering
- Robotics and embodied AI systems
- Production software development
- Customer discovery and requirements gathering
- Hardware integration and testing
- Problem-solving in ambiguous environments
- Product thinking and technical decision-making
- Python or other relevant programming languages
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Field AI
Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.
View all jobs at Field AILikely interview questions
- Walk us through a time you deployed an AI or ML system to production. What were the biggest challenges in moving from prototype to real-world use?
- Tell us about your experience working with robotics, sensors, or embodied AI systems. What hardware constraints have you had to design around?