Senior Forward Deployed Engineer

Overview

Construction is the 2nd largest industry in the world (4x the size of SaaS!). Unlike software companies, construction teams lack automated feedback loops to keep projects on schedule and on budget. Doxel AI brings computer vision to construction, enabling better decisions for teams from foreman to VPs. We use a combination of classic computer vision, deep learning object detection, a low‑latency 3D web app, and a complex data pipeline.

Our software is trusted by Shell Oil, Genentech, HCA Healthcare, Kaiser, Turner, and many others.

As a Lead Software Engineer, Full Stack, you will define and build the next generation of Doxel’s project‑management, commissioning, and field‑enablement tools. You’ll design and deliver full‑stack applications that handle massive volumes of field data—videos, images, structured forms, IoT outputs—and transform them into fast, intuitive workflows for office teams and field workers. You’ll architect mobile and web experiences that make data capture, review, and action effortless in harsh construction environments.

As a technical leader, you’ll partner closely with product, design, backend, CV/ML, and platform engineering teams, and mentor engineers across the organization.

• Lead the design and development of full‑stack applications powering project management, commissioning workflows, and field data capture.
• Build web and mobile tools that simplify uploading videos, images, structured forms, IoT readings, and issue documentation.
• Develop intuitive, high‑performance UIs that handle complex data streams and large‑scale datasets.
• Architect backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale.
• Collaborate cross‑functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end‑to‑end features.
• Drive full‑stack and mobile engineering best practices, including testing, reliability, and performance optimization.
• Mentor and lead engineers, establishing standards, reviewing architecture, and ensuring high‑velocity execution.
• Contribute to technical planning, feature roadmaps, and long‑term architectural decisions for Doxel’s application ecosystem.
• Champion usability and field readiness, ensuring tools are simple, fast, and resilient in real‑world construction environments.

• 10+ years of experience building and shipping full‑stack web and mobile applications.
• Strong expertise with modern full‑stack frameworks (e.g., Nuxt.js, Next.js, or similar).< /li>
• Strong backend engineering experience with Type Script, Python, or Java, including API development.
• Experience architecting applications that handle large‑scale multimodal datasets (3D components, videos, images) and/or IoT data inputs.
• Deep experience building UX for field‑facing or operationally critical workflows.
• Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure.
• Skilled in designing domain‑driven data models and working with OLTP/OLAP systems.
• Prior experience leading or mentoring small engineering teams.

• Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or Big Query.
• Background with offline‑capable architectures and mobile‑first data collection tools.
• Experience with 3D visualization (three.js), geospatial data, or computer‑vision‑powered experiences.
• Exposure to ML/AI‑driven feature development.
• Comfort with CI/CD pipelines, observability tooling, and automated testing best practices.

Doxel provides comprehensive health, dental, and vision benefits for employees and their families, including an Unlimited PTO policy, a 401(k) program, and a flexible work environment.

Doxel is an equal‑opportunity employer and actively seeks diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.