About The Role:
Our client is an evidence-first AI platform for disaster restoration and insurance claims. They capture field evidence (photos, video, moisture logs, LiDAR scans, voice notes) via a mobile-first guided inspection app, build a graph-backed digital twin of the property loss, and use agentic AI to generate carrier-ready claim packets with full audit trails. The iOS app is the primary entry point for all field data and the most critical user-facing surface of the entire platform.
This is NOT a generic consumer app. This is a professional field-operations tool used by contractors on active job sites: water-damaged basements, fire-loss walkthroughs, mold remediation inspections. The mobile experience must work flawlessly in hostile conditions (poor lighting, no connectivity, one-handed operation, wet/dusty environments) and produce structured, auditable evidence that feeds directly into an AI pipeline.
Core Responsibilities:
iOS Development & UI/UX (Primary)
- Design, build, and maintain the iOS application in Swift (SwiftUI primary, UIKit where needed) as the primary field-capture interface for restoration contractors
- Own the end-to-end mobile UI/UX: guided inspection workflows, structured photo/video capture with metadata tagging (GPS, timestamp, room/area labels), moisture reading input, voice-to-text notes, and document scanning
- Implement offline-first architecture using Core Data or SwiftData for local persistence, with reliable background sync and conflict resolution when connectivity is restored
- Design for field conditions: one-handed operation, large touch targets, high-contrast interfaces for poor lighting, gloved-hand input tolerance, and rapid capture workflows that minimize taps per evidence item
- Build real-time camera integration with custom capture flows (guided photo angles, overlay templates for consistent documentation, multi-shot sequences per room/area)
- Implement push notifications, background processing, and local scheduling for inspection reminders, sync status, and evidence completeness alerts
Cloud & AI Integration (Critical)
- Integrate the iOS app with our backend services via RESTful and GraphQL APIs (Node.js/TypeScript backend)
- Connect mobile evidence capture to the NVIDIA NIM inference pipeline: upload photos/video that trigger AI classification, damage detection, and scope generation on the backend
- Integrate NVIDIA VSSS (Video Search and Summarization) outputs into the mobile review experience, allowing field techs to verify AI-generated scope items against video evidence
- Consume and display outputs from the agentic AI pipeline: scope suggestions, confidence scores, evidence gap alerts, and citation-linked packet previews
- Integrate with cloud storage (Nebius/S3/MinIO) for evidence upload with progress tracking, resumable uploads, and metadata preservation
- Implement secure authentication (OAuth2/JWT), role-based access control per project and tenant, and PII-safe data handling throughout the mobile layer
Collaboration & Product
- Work directly with the CTO and founding engineering team to translate product requirements into polished mobile experiences
- Collaborate with design (if/when hired) to maintain and evolve the design system; in the interim, own UI/UX decisions informed by Apple Human Interface Guidelines and field-user research
- Participate in weekly design-partner feedback sessions to understand how restoration contractors actually use the app on job sites and iterate accordingly
- Write clean, tested, well-documented Swift code; participate in code reviews and architectural discussions
- Manage App Store submission, TestFlight distribution for pilot partners, and release management
Must-Have Requirements:
iOS / Swift
- 3+ years of production iOS development in Swift with published App Store applications
- Experience with LiDAR scanning (ARKit, Polycam SDK), 3D measurement capture, or AR overlay features on iOS
- Strong proficiency in Swift UI (primary) and UI Kit; ability to build custom UI components and complex navigation flows
- Hands-on experience with iOS camera APIs (AV Foundation), GPS/Core Location, local storage (Core Data or Swift Data), and background processing
- Proven offline-first mobile architecture: local persistence, background sync, conflict resolution, and reliable data upload on reconnection
- Deep understanding of iOS UI/UX principles, Apple Human Interface Guidelines, and accessibility standards
- Experience with App Store submission, TestFlight distribution, certificate management, and release processes
API & Cloud Integration
- Experience integrating iOS apps with RESTful APIs and managing asynchronous network calls (URLSession, Combine, or async/await)
- Familiarity with cloud storage integration (AWS S3 or equivalent) for large file uploads (photos, video) with progress tracking and resumable transfers
- Experience implementing secure authentication flows (OAuth2, JWT) and role-based access control on mobile
- Comfortable consuming and displaying AI/ML model outputs in a mobile interface (confidence scores, classification results, suggested actions)
Working Style
- Experience working in a fast-paced startup environment, ideally as a founding or early-stage engineer
- Strong written and verbal English communication skills for daily async collaboration (WhatsApp, GitHub, Loom)
- Ability to work EST-aligned hours for overlap with US-based leadership team
- Proficiency with Git, pull request workflows, and CI/CD pipelines (GitHub Actions, Fastlane)
- Agile/Scrum methodology experience; comfort with weekly sprint cycles and rapid iteration
- High autonomy: you set priorities, unblock yourself, propose solutions, and communicate proactively when stuck
Nice-to-Have:
NVIDIA & AI Stack
- Experience integrating NVIDIA NIM (NVIDIA Inference Microservices) or NeMo Retriever outputs into mobile applications
- Familiarity with consuming LLM/RAG pipeline outputs in a mobile context (structured JSON responses, streaming results, confidence thresholds)
- Experience with on-device ML (Core ML, Vision framework) for real-time photo classification, damage detection, or OCR
Graph & Data
- Exposure to Neo4j or property graph concepts (understanding how entities, relationships, and provenance flow through the app)
- Experience with PostgreSQL/ pgvector or vector search concepts as they surface in mobile search/recommendation features
Domain & Platform
- Experience building technology for insurance, construction, restoration, or regulated field-operations industries
- Android development skills (Kotlin/Jetpack Compose) for future cross-platform expansion
- Experience with Flutter or React Native as a complement to native iOS (for rapid prototyping or shared logic layers)
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