Field AI
Field Application Engineer - Fenton, MI - Temporary Part Time
About this role
Field AI seeks a Field Application Engineer to deploy and support risk-aware AI robotics systems in real-world environments. This role bridges technical expertise and customer success, ensuring deployed solutions perform reliably while gathering field insights to improve models.
What you'll do
- Deploy and configure AI robotics systems at customer sites
- Provide technical support and troubleshooting for field-deployed solutions
- Gather performance data and customer feedback from real-world applications
- Train customers on system operation and best practices
- Collaborate with engineering teams to identify improvement opportunities
- Document field results and contribute to product refinement
What they're looking for
- Robotics systems knowledge
- AI/machine learning fundamentals
- Field troubleshooting and diagnostics
- Customer communication and support
- Technical documentation
- Problem-solving under real-world constraints
- Hardware integration experience
- Data collection and analysis
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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
- Tell us about your experience working with robotics or AI systems in production environments.
- How would you approach troubleshooting a deployed system that's not performing to specification?