Founding Software Engineer

Posted 8 Hours Ago
2 Locations
In-Office or Remote
Junior
Artificial Intelligence • Big Data • Software • Analytics
The Role
Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.
Summary Generated by Built In

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

Skills Required

  • Bachelor of Science degree 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 PostgreSQL
  • Expertise in database 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 with modern MLOps practices
  • Strong problem-solving skills and comfort working in fast-paced environments
  • Clear and concise communication skills
  • 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
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The Company
3 Employees

What We Do

Ensense AI is building a public-place intelligence business centered on a comprehensive data-collection platform and innovative data products. Its mission is to offer a new way to gain intelligence about public places by collecting and organizing information about those environments into usable data. The company is a small, early-stage team based in Marina del Rey, California, and is hiring founding engineering talent to develop this platform.

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