About Ensense Ensense AI is building the next generation of Physical AI. Our mission is to bring transparency to public places through scalable sensing and software innovations that empower people, organizations, and government to make better decisions. We are building a Physical Intelligence Layer over streets that is continuously updating, captured through innovative multimodal sensing and transformed into actionable intelligence by advanced spatiotemporal AI systems. Our work spans the full stack from sensing to intelligence, enabling a new class of real time environmental, safety, and infrastructure insights. Ensense AI is a high caliber, early stage team of engineers, scientists, and operators who value curiosity, engineering precision, and measurable impact. Every team member is hands on and directly responsible for defining and advancing the state of the art in Physical AI.

About the Role

We are looking for a Founding Full Stack Engineer to join Ensense AI at a pivotal moment. You will work directly with the founders to design, build, and scale the core platforms that power our multimodal sensing and intelligence systems. This role is ideal for someone who thrives in early stage environments, enjoys solving complex technical problems, and wants meaningful ownership across the stack. Your work will directly shape the foundation of our product and the engineering culture of the company.

Responsibilities

Design and build production quality backend systems that ingest, process, and serve multimodal sensor, audio, video, and environmental data Build APIs, services, and infrastructure that support data pipelines and model development and inference Develop applications that enables users to interact with our AI models Implement best practices in reliability, scalability, and data integrity Help define code standards, and long term engineering strategy Contribute to a culture of engineering excellence, ownership, and speed

Required Qualifications

B.Sc. in computer science or a related technical field 2+ years of professional experience with a strong record of shipping Strong proficiency in modern backend development using Python or Go Proficiency with relational databases such as Postgres Proven expertise in databases technologies including schema design, query optimization, indexing, and performance tuning Experience building cloud based systems on AWS or GCP Ability to design APIs, data models, and scalable service architectures Experience working with modern MLOPs practices Strong problem solving and comfort working in fast paced environments Clear and concise communication skills

Preferred Qualifications

Interest in Physical AI, smart infrastructure, or urban systems Background in early stage startups or experience as an early technical hire Experience with real time or streaming data systems Experience with geospatial data, mapping frameworks, or location data