Job Specifications
Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software (with observability platforms such as AppDynamics and Datadog), construction teams lack automated feedback loops to help projects stay on schedule and on budget. Without this observability, construction wastes a whopping $3T per year because glitches aren't detected fast enough to recover.
Doxel AI exists to bring computer vision to construction, so the industry can deliver what society needs to thrive. From hospitals to data centers, from foreman to VPs of construction, teams use Doxel to make better decisions everyday. In fact, Doxel has contributed to the construction of the facilities that provide many of the products and services you use everyday.
We have LLM-driven automation, classic computer vision, deep learning ML object detection, a low-latency 3D three.js web app, and a complex data pipeline powering it all in the background. We're building out new workflows, analytics dashboards, and forecasting engines. Join us in bringing AI to construction!
We're at an exciting stage of scale as we build upon our growing market momentum. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others. Join us in bringing AI to construction!
The Role
The role of a Backend Engineer has evolved. With the rise of local-first applications and WebAssembly (Wasm), the boundary between backend and frontend has blurred. Traditional data processing and analytics, once confined to server infrastructure, have now extended into the browser analytically with DuckDb, and visually with Three.js. This shift enables powerful, low-latency computation directly on the client, transforming how we architect and optimize systems.
Our backend team produces the foundation for Doxel's construction insights. You'll own the technology that brings insights through processing vast amounts of project data daily, by capturing and analyzing hundreds of thousands of square feet of 360 video. You will collaborate closely with Product, Frontend Engineering, and Design to build intuitive, high-performance solutions that empower our customers. Additionally, you'll partner with internal teams developing and refining our state-of-the-art LLM, Computer Vision (CV), and Machine Learning (ML) automation pipelines.
As Doxel scales to serve more customers, we need to fortify our data pipeline and API infrastructure to improve reliability, reduce service disruptions, and enhance extensibility for new features. You will bring backend software development expertise to establish strong design patterns, unify our data pipeline, and ensure seamless interaction across teams and systems. You are eager to learn beyond your immediate expertise and capable of mentoring others in your domain. Above all, you prioritize building reliable, low-maintenance software that supports both traditional backend processing and emerging in-browser computational paradigms.
Who You Are
You are a relentless problem-solver who takes deep ownership of your work, ensuring every line of code is correct, reliable, and built for complex, real-world domains. You anticipate failure points, eliminate edge case bugs, and engineer systems that handle ambiguity with precision. You don't just write software--you make it rock solid. You thrive in rich domain environments where correctness matters as much as performance. You seek feedback, iterate quickly, and push yourself to improve. You take initiative, tackle the hardest problems head-on, and refuse to settle for anything less than technical excellence and real impact.
What You'll Do
Design, develop, and maintain APIs that power our Three.js and DuckDb powered frontend applications
Extend and optimize our idempotent data pipelines using Airflow to adapt to evolving business needs
Develop and manage our data storage and processing stack, leveraging DuckDB for analytical workloads and PostgreSQL for transactional data
Implement and maintain robust data processing workflows that ingest and structure data from 360-degree video, project management schedules, and IoT sensors
Explore and integrate WebAssembly (Wasm) powered local computation where appropriate to enable flexibility, performance, and reduce server round trip time
Develop diagnostic tools to monitor data quality and pipeline performance
Strike a balance between rapid iteration and long-term software stability
Identify and manage complexity in workflows by implementing general, flexible, and scalable data processing paradigms
Work with CV and ML engineers to deploy cutting-edge 3D computer vision models
What You'll Bring To The Team
5+ years of experience in Python, C++, Typescript, or a functional programming language
3+ years of experience in backend or full-stack engineering within an agile, cloud-based environment
2+ years of experience working with ETL pipelines and workflow orchestration tools like Airflow
Experience with Kubernet
About the Company
Completing a construction project on schedule and on budget is a herculean task- different teams, different designs, every single time. With hundreds of thousands of variables changing everyday, optimizing construction outcomes has become a massive challenge. Doxel is here to change that. Doxel is the only complete automated construction progress tracking solution. By contextualizing vast amounts of disparate project data across site, BIM, schedule, and budget, Doxel empowers teams with an objective view of their project tod...
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