> Markdown version of [/jobs/ext/3044280-ai-enablement-engineer-for-mobile-apps](https://www.wearedevelopers.com/jobs/ext/3044280-ai-enablement-engineer-for-mobile-apps). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Enablement Engineer for Mobile Apps - **Company:** Air Apps - **Location:** Barcelona, Spain (Remote available) - **Salary:** €50,000.0 - €62,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Apple IOS, Automation of Tests, Mobile Application Development, Code Review, Continuous Integration, DevOps, Github, Mobile Application Software, Software Engineering, Systems Integration, Mobile Os, Delivery Pipeline, Large Language Models, Hardware Testing, Backend, Information Technology, Front End Software Development, Jenkins - **Published:** September 24, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + Bachelor's degree in computer science, Software Engineering, or equivalent. + Proven experience with AI-assisted software engineering workflows, agents, and modern development tooling. + Experience developing mobile applications on iOS and/or Android platforms, including modular architectures and shared platform development. + Experience with QA automation, device testing farms, and CI/CD platforms such as GitHub Actions and Jenkins. + Experience integrating automation, testing, and quality controls into engineering delivery pipelines. + Ability to quickly understand existing engineering ecosystems and work effectively across multiple teams. + Strong collaboration and communication skills in distributed engineering organizations + Ability to train and support teams adopting new engineering practices, tooling, and workflows., + Strong autonomy and ability to proactively identify opportunities and drive initiatives + Strong collaboration and governance mindset, with focus on consistency, alignment, and knowledge sharing across teams. + Ability to drive adoption and influence engineering practices without direct authority. + Familiarity with LLM-based automation and enterprise AI tooling evaluation/adoption. + Experience improving developer experience, engineering velocity, release quality, or automation maturity. ## Description We are looking for a role whose main goal is to drive the adoption of AI-assisted engineering practices across one of our biggest client' mobile applications ecosystem, improving developer productivity, QA automation, CI/CD workflows, operational efficiency, integration quality, and engineering standards. This role works closely with Engineering, QA, Architecture, Platform, and DevOps teams, ensuring AI initiatives remain aligned with platform standards, governance, security, and enterprise delivery roadmaps. Main responsibilities + Evaluate and promote AI-assisted engineering tools and workflows aligned with enterprise standards and architecture principles. + Collaborate with Mobile Platform team, QA, and DevOps teams to identify automation and productivity opportunities across frontend, backend, APIs, integrations, and CI/CD pipelines + Define and implement AI-assisted engineering practices across mobile development, QA, and delivery pipelines. + Integrate AI-assisted practices into shared frameworks, SDKs, testing utilities, modular architectures, and CI/CD tooling. + Drive adoption of AI-assisted tools, automation, and engineering workflows across development teams. + Support teams with best practices around AI-assisted development, code review, test generation, documentation, and automation. + Define and track engineering productivity and QA metrics, identifying opportunities for continuous improvement. + Promote consistent adoption of AI-assisted practices across teams, contributing to engineering governance and shared standards. ## Related Videos - [Xcode development redefAIned](https://www.wearedevelopers.com/videos/100195-xcode-development-redefained) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Top AI Tools for Developers in 2025](https://www.wearedevelopers.com/magazine/560-top-ai-tools-for-developers-in-2025) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)