Senior Mobile & AI Engineer (Field Data Collection)

scope • United Kingdom

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AI Summary

Build AI-native mobile systems for inspectors, handling unstructured data (voice, photos, video) to automate report generation. Own product architecture, workflows, and real-world offline/online behavior. Requires 5+ years of mobile engineering experience (Expo/React Native) and deep technical curiosity in AI context-engineering.

Key Highlights

Real product ownership with direct user feedback loops

5+ years of mobile engineering experience (Expo/React Native) required

AI context-engineering for unstructured field data (voice, photos, videos)

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Key Responsibilities

Redesign mobile app for field inspectors in challenging conditions

Develop AI systems to auto-generate reports from unstructured data

Engineer workflow builder for inspections (Retool/Webflow/n8n hybrid)

Design architecture for unstructured data, AI integration, and offline/online behavior

Technical Skills Required

Mobile Development (Expo/React Native) AI Context-Engineering System Architecture for Unstructured Data

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Benefits & Perks

£120k–£150k base salary + significant equity

33 days’ holiday (including bank holidays)

Bupa private medical (£0 excess, pre-existing conditions covered)

Fresh meal prep, stocked fridge, and team lunch out every Friday

Full visa sponsorship

New MacBook and work tools

Flexible parental leave (including adoption leave)

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Nice to Have

Experience with AI model training or fine-tuning

Background in standards/compliance workflows

Prior work with industrial or field inspection tools

Job Description

Our Mission:

Scope automates data collection for 2 billion field workers, simplifying inspections, decision-making, and report production. We’re building the largest dataset on infrastructure conditions and expert decisions, targeting a $2T market.

About The Role:

You’ll have real product ownership—designing, shipping, and iterating on features directly with inspectors. Key challenges include processing messy field data (voice notes, photos, videos) into actionable reports and engineering AI context systems for standards, reports, and user intent.