FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
As an Agentic AI/ML Engineer, you will build agentic solutions that turn FieldAI’s data and tooling into actionable support and insights. Your work has a dual focus: creating internal agents that accelerate engineering and operational workflows, and building customer-facing agentic experiences that help users gain insights from their deployments.
A critical foundation of this work is the AI Ops platform you will help build—developing core infrastructure for orchestration, tool integration, memory, evaluation, and observability. This is a hands-on engineering role where you will prototype, evaluate, and deploy agent-native solutions that directly multiply the impact of our teams, customers, and technology.
This role is critical to how we scale. As our fleet, customer base, and team continue to grow, the agentic solutions and AI Ops infrastructure you build will enable us to support more customers, surface deeper insights, and operate more efficiently without scaling headcount linearly. Your work will directly amplify the effectiveness of engineers, field teams, and customers, making this a high-impact opportunity to contribute to FieldAI's next phase of growth.
This is a fixed-term engineering role intended for early-career candidates, including recent graduates and engineers with up to approximately one year of professional experience. The initial engagement is expected to last 3–6 months, with the possibility of extension or conversion to a full-time position based on performance, business needs, and organizational priorities.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu