Sr. Full Stack Web Engineer

Field AI is among the select startups making robots a reality. We are a deep-tech robotics company shaping the future of embodied AI. Our intelligent “brains” operate across legged, wheeled, and humanoid robots. We blend commercial applications with groundbreaking research, fostering a dynamic environment that pushes the boundaries of robotics.
We are operating robots in the most complex and challenging environments possible including construction. Within this position you will work closely with AI, product, and commercial teams to build products that leverage robotically captured data on construction projects around the world to deliver actionable insights to customers. 
This role is for a developer that wants to work at the intersection of embodied AI and the delivering a product that has a meaningful impact on some of the most exciting projects under construction around the world today. 

What You Will Get To Do

• Design, develop, and maintain full-stack applications with a focus on scalability and performance.
• Write clean, maintainable code in TypeScript, JavaScript, Node.js, and Python.
• Architect and implement solutions for complex problems involving data modeling, UI/UX design, and infrastructure, adhering to design patterns and clean architecture principles.
• Develop backend services using Express.js and related Node.js frameworks.
• Build and maintain interactive and dynamic frontends using React and modern web development practices.
• Implement complex 3D graphics features using libraries like Three.js.
• Design and manage efficient data storage solutions with MongoDB and Redis.
• Build and maintain messaging systems with SQS and event-driven architectures using EventBridge.
• Setup and Maintain AWS Elastic Beanstalk web APIs.
• Containerize and deploy applications using Docker.
• Maintain secured apps using authentication workflows with AWS Cognito and manage role based resource permissions.
• Automate CI/CD pipelines with AWS CodePipeline and CodeBuild.
• Configure DNS routing and domain management via AWS Route53.
• Organize, manage, and scale codebases using monorepo architectures with tools like Lerna and NX.
• Collaborate with cross-functional teams, to create intuitive and effective user experiences.
• Troubleshoot performance bottlenecks, resolve bugs, and optimize graphics rendering pipelines.
• Improve internal processes to reduce human intervention as much as possible.

What You Have

• Strong Frontend and Backend experience in similar roles (5+ years) Advanced proficiency in TypeScript, JavaScript, Node.js (with Express.js), and React. 
• Experience with Three.js, WebGL, shaders, or other 3D graphics programming technologies. 
• Proficiency in designing solutions for complex problems involving data modeling, UI/UX, and infrastructure, using design patterns and clean architecture principles.
• Strong understanding of messaging systems (e.g., SQS) and event-driven architectures (EventBridge).
• Hands-on experience with Docker and AWS services (e.g., Cognito, Elastic Beanstalk, CodePipeline, Route53). Note experience with similar products from other cloud providers would work too.
• Expertise with database systems like MongoDB and Redis.
• Strong problem-solving skills and ability to work in a collaborative environment. Understanding of micro-services application design.

What Will Set You Apart

• Knowledge of BIM (Building Information Modeling) workflows and tools.
• Experience managing and scaling monorepo codebases with tools like Lerna or NX.
• Experience working with Autodesk platforms (e.g., Revit, Forge API *APS).Proficiency with AWS SDK.
• Experience with container orchestration tools like Kubernetes.

We take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. We are also open to additional work locations in Europe in addition to Spain.
Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
Our team is uniquely suited to accomplishing these goals, with leadership and staff comprised of team members who have won back to back segments of the DARPA