Builds full-stack web and mobile applications handling large-scale field data (videos, images, IoT) for construction project management. Requires 5+ years experience with TypeScript/Python/Java, modern frameworks like Next.js/Nuxt.js, cloud platforms, and APIs.
150k – 165k/yr
Remote5+ YOEFullstack Engineering
About the role
Responsibilities
Design and develop full-stack applications powering project management, commissioning workflows, and data capture
Build web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
Develop intuitive, high-performance UIs that handle complex data streams and large-scale datasets
Work 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
Manage individual project priorities, deadlines and deliverables
Optimize web applications to maximize speed and scale
Contribute to technical planning, feature roadmaps, and long-term architectural decisions
Champion 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 systems
Preferred
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
Compensation & Benefits
Competitive Base Salary + Equity Package
Comprehensive Health Insurance (Medical, Dental, Vision)
Home Office Stipend
Monthly allowance for cell phone and internet
Flexible PTO, generous company holiday policy, and unlimited sick days
Build and ship a live deployment knowledge graph and agentic software systems that automate AI supercomputer site bring-up, contractor workflows, QA inspections, and as-builts. Forward-deploy alongside field engineers on live construction sites to turn their domain expertise into structured, queryable data models and autonomous planning tools. Requires production experience with Go/Python/TypeScript, LLM APIs, and agentic coding tools.
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