Senior Backend Engineer, Doxel.ai
$185-220k
AI powered project controls platform
Open for applications
AI powered project controls platform
21-100 employees
Open for applications
$185-220k
21-100 employees
Company mission
To empower construction teams with artificial intelligence-backed tools to create better products, more efficiently.
Role
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
- 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 Kubernetes and cloud infrastructure
- Strong SQL expertise with deep knowledge of query optimization and table structures, including experience with PostgreSQL
- Experience with Wasm and its applications in local-first data processing is a plus
- Experience with test-driven development and automated testing strategies
- Exposure to CV or ML development is a plus but not required
What the job involves
- 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
- 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
Our take
With computer-vision-powered predictive analytics, Doxel.ai allows users to detect the quality of construction work as well as any issues that may need to be fixed. The software empowers teams with comprehensive information that can track a project’s progress against building information models, budgets, schedules, and pay application data.
There is a huge opportunity to improve the construction industry, as more than 90% of large projects are delivered over budget and behind schedule. While there is no shortage of analytics tools for the industry, where Doxel stands out is in "forward-thinking" insights, that pre-empt problems, rather than the backward-looking analytics of competitors.
Doxel.ai's software has been adopted by large businesses such as Kaiser Permanente and Pennsylvania Chemicals. The company is using investments to scale activity and hire additional talent as it moves to further expand its operations.
Steph
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2021
$40m
SERIES B
Feb 2020
$12m
SERIES A
Total funding: $56.5m
Company benefits
- Physical and Mental Wellness Support - Comprehensive healthcare, dental, vision benefits, disability, life insurance, and other resources
- Vacation & Leave - Relax and recharge with Doxel’s unlimited PTO policy. The average Doxilian takes over 3 weeks of time off per year
- Remote & Productive Work Environment - Doxel provides a generous stipend and internet reimbursement plan to help outfit your remote working space. Doxel’s culture is built to be inclusive of remote, in office, and hybrid employees
Company HQ
Menlo Park, CA
Leadership
Saurabh Ladha
(CEO)Having studied at Stanford, and founded IFOR in 2010, they co-founded Doxel.ai as CEO in January 2018.
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