iOS Developer (Swift)

Quick Facts

• Role: iOS Developer (Swift)

• Work mode: Hybrid (1 day per week in Warsaw)

• Rate: 1000–1300 PLN net/day (depending on experience)

Description

You will design, develop, and maintain iOS mobile applications using Swift, SwiftUI, and UIKit. The work includes integrating REST APIs, handling local data with Core Data and SwiftData, writing unit tests, and collaborating in CI/CD processes using Fastlane and Jenkins. You will also use AI tools to improve the software development process, including building AI skills/agents and auditing them for cost, quality, and secure usage.

Responsibilities

• Develop and maintain iOS apps with Swift, SwiftUI, and UIKit

• Design and implement new features per established architecture and coding quality standards

• Integrate with backend services via REST API

• Work with local persistence using Core Data and SwiftData

• Create and maintain unit tests

• Analyze requirements and help design new functionality

• Prepare and update technical documentation

• Participate in CI/CD workflows and use Fastlane and Jenkins

• Manage project dependencies with Swift Package Manager (SPM)

• Use AI tools to streamline software engineering

• Create and improve AI skills and agents for developer workflows

• Ensure secure and cost-effective AI usage in development

Requirements

• Minimum 3 years of iOS development with Swift

• Very good knowledge of SwiftUI and UIKit

• Experience with Core Data and SwiftData

• Solid knowledge of implementing and integrating REST APIs

• Ability to write clean, maintainable code following MVVM and MVVM-C

• Knowledge of design patterns and Clean Architecture

• Experience with Git/GitFlow; using Bitbucket and Jira

• Experience writing unit tests

• Knowledge of Swift Concurrency (async/await)

• Knowledge of Dependency Injection (e.g., swift-dependencies)

• Experience managing dependencies with Swift Package Manager (SPM)

• Basic CI/CD knowledge; Fastlane and Jenkins

• Ability to use Bash or PowerShell

• Mid-level AI capability: independently create and deploy an AI skill/agent for development support

• Ability to audit AI solutions for cost (routing, prompt caching, batching) and output quality

• Ability to define secure AI usage rules (data classification, proper tools, masking of sensitive data)

• Practical knowledge of configuring MCP integrations in work tools

Benefits

• Long-term collaboration

• Technical training, certifications, and skill development

• Mentoring Community of Competence Center (participation from day one, conferences, knowledge sharing)

• Clear career path

• Benefits package: Multisport, private medical care, life insurance

• Friendly work atmosphere, integration events, and team-building activities