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PROJECT MANAGER WITH SPECIALISATION IN AI INTEGRATION, TAPADOO LTD

  • Sector: IT
  • Location: Dublin, Ireland
  • Salary: €40k - €50k
  • Contract Length: 18 Months
  • Closing Date and Time: 01/07/2025, 17:00
  • Fixed-Term Contract, 18 Months

Job Summary

Tapadoo is a specialist mobile app development company based in Dublin, Ireland. Established in 2009, the company designs, develops, and maintains high-quality iOS and Android apps for clients across sectors including healthcare, fintech, and public services.

Job Description

About the Project:

Tapadoo, a leading Dublin-based mobile app development company, is launching a transformative 18 -month Innovation Boost project in collaboration with Ulster University. The project focuses on developing and embedding an AI-driven software development framework into our mobile app lifecycle. Leveraging principles of Agentic AI and other AI techniques, we aim to significantly enhance development efficiency, software quality, scalability, and user experience personalisation.

The Role:

We are seeking a highly motivated Project Manager to drive this strategic initiative. You will be central to researching, designing, developing, piloting and integrating various AI tools and custom models across Tapadoo's entire development workflow. This unique role sits at the exciting intersection of cutting-edge AI research and its practical application in a commercial mobile development environment.

Key Responsibilities:

Effective management and delivery of the following stages of the project:

Research & Evaluation: Investigate, evaluate, and select appropriate AI tools and techniques for tasks identified in our work plan, including:

  • Code generation & developer assistance.
  • Automated testing & debugging (including AI-driven test case generation).
  • API integration & management support.
  • UI/Asset optimisation.
  • AI-enhanced security scanning within CI/CD.
  • App localisation support (leveraging NLP).
  • User behavior analysis for personalisation insights.
  • Performance monitoring and optimisation.


Development & Piloting: Develop proof-of-concepts and pilot AI solutions within controlled environments and eventually on live client projects, focusing on areas like adaptive UI/UX personalisation.

Integration & Scaling: Integrate validated AI tools and models smoothly into Tapadoo’s existing development workflows, including native mobile (iOS/Android) processes and CI/CD pipelines. Support the scaling of successful solutions across teams.

Collaboration & Knowledge Transfer: Work closely with Tapadoo’s engineering, QA and DevOps teams, as well as academic researchers at Ulster University. Actively participate in documentation, creating best-practice guides, and conducting internal knowledge transfer sessions to ensure long-term sustainability.

Validation & Refinement: Rigorously test AI implementations, gather performance data, analyse results and iterate on solutions based on real-world feedback.

What We Offer:

  • A unique opportunity to lead a high-impact AI innovation project in a commercial setting.
  • Collaboration with leading academic researchers and experienced mobile app developers.
  • Exposure to cutting-edge AI technologies and their practical application.
  • Support to undertake the Innovation Boost postgraduate diploma in Innovation Management during the project.
  • A dynamic and collaborative work environment at a leading Irish mobile app company.


We believe that a diverse team makes for better products and a better workplace. Our team comes from all over the world and from a variety of backgrounds, cultures and life experiences. If you like the look of the job, but feel you do not meet all the requirements, feel free to drop us an email at recruiting@tapadoo.com; we are happy to discuss the role and see if it may be a fit for you.

The successful graduate will lead this project, in a supportive partnership with Ulster University as part of the InterTradeIreland Innovation Boost Programme and will also have the opportunity to avail of a Post Graduate Diploma with Queen’s University Belfast as part of the employment offering.


Benefits:

● Fully funded Post-Graduate Diploma awarded by Queen’s University Belfast.


Interviews will be held approximately week commencing: 07/07/2026

Essential Criteria

  • Minimum 2:2 Degree in Data Science, Computer Science, Software Engineering, or another closely related field.
  • Demonstrable proficiency in core AI/Machine Learning concepts and practical experience implementing AI/ML models and techniques.
  • Solid understanding of the mobile app development lifecycle (iOS/Android) coupled with a strong grasp of general software engineering practices.
  • Must be legally entitled to work in Ireland/EU and travel throughout the island of Ireland; if you do require a visa/work permit allowing you to work in Ireland/EU you must upload a copy of it with your application.

Desirable Criteria

  • At least 3 years’ experience of leading and managing software projects and programs, with varying sizes and technical complexity.
  • Hold, or be about to obtain, a master’s degree in data science, Computer Science, Artificial Intelligence, or another closely related area.
  • Experience applying advanced techniques (e.g., using Python with TensorFlow/PyTorch/Scikit-learn) to develop intelligent and dynamically adaptive user experiences in mobile environments.
  • Practical knowledge of integrating AI solutions into established mobile development workflows, specifically for advanced automation in AI-assisted coding, intelligent testing strategies, and robust performance optimization using version control (Git) and CI/CD pipelines.
  • Demonstrated ability to incorporate AI capabilities across various stages of mobile app development, with a focus on areas like AI-driven security vulnerability prediction, advanced performance anomaly detection, or complex UI/UX adaptation strategies.
  • Understanding of Natural Language Processing (NLP) and its relevance to mobile applications, such as developing sophisticated conversational AI for user interaction, nuanced automated localization, or AI-driven code quality analysis and refactoring suggestions.
  • Familiarity with AI-driven testing approaches for mobile apps, including experience with automated test generation using generative models, intelligent validation techniques based on anomaly detection, and knowledge of recent developments in Agentic AI.