Senior Software Engineer iOS

Overview

Senior Software Engineer, iOS on the Product & Technology team, building the Procore experience on iPhone and iPad, including actionable AI capabilities that support field teams on the job site.

What you'll do

• Write clean, maintainable code and build robust systems that perform reliably across diverse Apple hardware and iOS versions
• Design and evolve modular, scalable iOS architecture adhering to modern mobile engineering standards and best practices
• Leverage AI-assisted developer workflows (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate technical design, prototyping, testing, and reviews while maintaining high code quality and security
• Build high-impact AI capabilities into native iOS applications, integrating LLM-powered services and on-device Core ML with a focus on latency, offline capability, cost, and user privacy
• Prototype and evaluate emerging iOS frameworks and mobile AI technologies, providing technical recommendations for production adoption
• Profile, diagnose, and resolve runtime performance bottlenecks to ensure fluid application responsiveness across supported devices
• Collaborate cross-functionally with Product, UX, and Systems teams to translate complex business problems into reliable technical designs
• Author and maintain high-quality technical documentation, architectural decision records, and system diagrams

What you'll need

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience
• Demonstrated experience in software engineering, with expertise in test-driven development, robust design practices, and distributed systems for enterprise iOS apps
• Deep hands-on proficiency in Swift, native iOS development, and standard mobile architectural patterns (e.g., MVVM, Clean Architecture, VIPER)
• Practical experience integrating AI/ML capabilities into mobile applications, including LLM APIs, Core ML, or on-device inference tooling
• Solid understanding of responsible AI deployment, focusing on data privacy, security perimeters, and mitigation of non-deterministic model outputs
• Experience utilizing AI coding tools in daily engineering workflows with sound technical judgment in verifying generated code
• Familiarity with enterprise microservices integration patterns, event-driven architectures, and API gateway communication
• Comprehensive experience with modern SaaS lifecycles, including CI/CD pipelines, automated testing, deployment, and production observability

Details

• Location: Bengaluru, India office
• Reports to the Engineering Manager, Mobile