Doxel is transforming the construction industry by leveraging computer vision and AI to provide real-time visibility into project progress and execution. As a Full Stack Software Engineer, you will design and develop applications that manage complex field data and collaborate with various teams to enhance user experience and project management tools.
Responsibilities:
- Designing and developing full-stack applications powering project management, commissioning workflows, and data capture
- Building web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
- Developing intuitive, high-performance UIs that handle complex data streams and large-scale datasets
- Working on 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
- Managing individual project priorities, deadlines and deliverables
- Designing and implementing new user-facing features in Doxel’s products
- Optimizing web applications to maximize speed and scale
- Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
- Championing usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
Requirements:
- 5+ years of experience building and shipping full-stack web and mobile applications
- Expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, or similar)
- Strong engineering experience with Typescript, Python or Java, and APIs
- Experience developing applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
- Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
- Experience working with a team to design domain-driven data models and working with OLTP/OLAP system
- Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
- 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