Field Application Engineer

About the role

The owns the critical responsibility of bridging the gap between cutting-edge artificial intelligence research and its practical, reliable implementation on the robotic edge. This role requires full ownership of the deployment lifecycle, from initial site assessment and complex on-site integration to final system validation and formal handoff to operations. You will act as the primary technical contact for both customers and internal engineering stakeholders throughout the installation, optimization, and troubleshooting phases. The core accountability is ensuring that Field Ai's advanced AI systems operate with maximum reliability, efficiency, and safety within complex, unpredictable, and real-world operational environments. You will meticulously document field performance metrics and translate real-world feedback and edge cases directly into actionable product and engineering improvements. This position demands a highly proactive mindset capable of diagnosing intricate hardware-software interactions independently. You will represent Field Ai with the highest level of professionalism and technical excellence in every interaction. Ultimately, this role is fundamental to de-risking our technology in the field and proving its tangible value and robustness to our customers.

Key facts

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Location: USA

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Engagement: Part-time, 20+ hours per week

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Compensation: Salary based on experience, certifications, and competencies. The package includes full benefits, equity, and paid time off.

What you'll do

• Execute the complete deployment process for robotic AI systems across a wide variety of diverse and demanding operational landscapes.
• Conduct rigorous onsite troubleshooting to diagnose and resolve complex hardware and software anomalies in real-time during field operations.
• Perform frequent cross-country travel to manage the full scope of installations, precision calibrations, and comprehensive performance validations at customer sites.
• Partner with remote engineering teams through focused in-person sessions to analyze performance data, diagnose issues, and iteratively refine algorithmic behavior for real-world conditions.
• Interface directly with physical hardware platforms to adjust sensor suites, calibrate perception systems, and modify control logic as required by the field environment.
• Monitor live system telemetry streams to identify emergent patterns of failure and implement immediate corrective actions to maintain system uptime.
• Maintain detailed, structured logs of each field engagement, capturing configurations, anomalies, and resolutions to support continuous improvement and seamless knowledge transfer.
• Verify that deployed AI models consistently meet stringent reliability, safety, and performance standards under a wide spectrum of environmental conditions and edge cases.
• Coordinate schedules and manage expectations with client personnel to ensure field activities align with operational timelines and minimize disruption.
• Evaluate novel edge cases encountered in the field and collaborate with engineering to develop and validate strategies to harden system resilience and robustness.
• Support the collection of high-fidelity performance datasets encountered in the field, which inform long-term model training, validation, and iterative improvement cycles.
• Serve as a mentor to junior staff and less experienced team members by demonstrating best practices in field robotics operations and AI integration methodologies.
• Adapt quickly to new tools, protocols, and site-specific constraints required by each unique customer location and operational requirement.
• Champion and rigorously enforce safety protocols to ensure all field activities are conducted with the utmost regard for the safety of personnel and equipment.

Requirements

• Must be able to work fully onsite while based in St. Louis for the majority of the engagement duration.
• Must be available for frequent nationwide travel to diverse customer locations as project demands require.
• Must commit to a part-time schedule of a minimum of 20 hours per week consistently.
• Must currently reside in the St. Louis area or be willing to relocate to satisfy the essential onsite presence requirement.
• Must hold the legal right to work in the United States without the need for sponsorship.
• Must possess a valid driver's license in good standing and maintain a clean driving record.
• Must be physically capable of performing hands-on hardware installation, maintenance, and field servicing activities.
• Must be willing to adhere to all company policies regarding confidentiality, data handling, and intellectual property protection.

Nice to have

Per the SOURCE, the "Nice to have" section is not populated with specific preferred items. Therefore, no additional qualifications beyond the core requirements and detailed responsibilities listed above are specified in the source material.

Practical notes

Compensation includes a salary based on experience, certifications, and demonstrated competencies. The total package includes comprehensive full benefits, equity participation, and paid time off. The work environment prioritizes in-person collaboration and teamwork, and we offer flexible daily hours to accommodate your personal schedule and needs, provided the 20+ hour per week commitment and onsite presence in St. Louis are maintained.