Field AI
Field Application Engineer - Houston, TX
About this role
Field AI seeks a Field Application Engineer to support the deployment and optimization of AI-powered robotic systems in real-world environments. This temporary, part-time role in Charlotte, NC involves working with customers to implement risk-aware, field-ready AI solutions and gather feedback to improve the company's embodied intelligence platform.
What you'll do
- Deploy and configure AI robotic systems at customer sites
- Provide technical support and troubleshooting for field applications
- Collect real-world performance data and customer feedback
- Train customers on system operation and best practices
- Document field results and contribute to product improvement
- Collaborate with engineering teams on system optimization
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 pressure
- Data collection and analysis
- Hardware integration experience
Opens the official application on the employer’s site. No login required.
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
- Describe your experience working with robotic systems or AI technologies in production environments.
- How would you approach troubleshooting a malfunctioning robotic system at a customer site with limited technical resources?