Top AI Jobs in Dublin

As a Senior Software Engineer, you will design and code AI, cloud, and machine learning platforms, deliver scalable solutions, and lead team prioritization while mentoring junior engineers.

Design and implement AI-driven solutions, building scalable code, collaborating with teams, mentoring others, and enhancing operational efficiency through technology.

As a Lead Security Engineer, you will design and implement secure software solutions, minimize vulnerabilities, conduct testing, and engage with stakeholders to enhance security protocols.

Lead the development of AI-driven solutions, integrating AI into large-scale systems, and guiding architectural strategies to enhance customer experiences.

Design and build AI-powered software solutions, collaborate with product owners, develop user-friendly software, and mentor colleagues in software engineering practices.

The role involves partnering with customers to design and implement AI-driven solutions, developing LLM applications, and managing full-stack processes from backend to UI, all within agile frameworks.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As an Intermediate Backend Engineer at GitLab, you will develop AI capabilities, collaborate in an agile environment, maintain code quality, and support the team with troubleshooting. Experience in Python and knowledge of AI technologies is essential.

Develop and manage AI reliability infrastructure, implement monitoring systems, lead incident response, and optimize AI infrastructure performance.

As a Full Stack Engineer AI, you will bridge machine learning and software engineering to deliver AI features, build full-stack applications, and collaborate across teams to enhance user experiences.

As the Founding Lead AI Engineer, you'll design and deploy AI systems, mentor engineers, lead technical execution, and oversee the ML lifecycle in a remote role.

Develop dynamic user interfaces for AI systems, focusing on responsive design, real-time data visualization, and collaboration with AI engineering teams.

The Director of AI Engineering will lead AI innovation, develop strategies, mentor teams, and oversee R&D initiatives to enhance product offerings and operational efficacy at Scorebuddy.

As a Staff AI QA Engineer, you'll design testing strategies and automation frameworks for AI platforms, validate AI behavior, and ensure data quality across integrations.

As a Staff AI DevOps Engineer, you will design CI/CD pipelines, implement IaC, manage Kubernetes infrastructure, and optimize cloud environments for AI workloads.

As a Staff AI QA Engineer at Kaseya, you'll craft testing strategies for AI platforms, validate AI behavior, and ensure data integrity, while collaborating with cross-functional teams.

As a Staff AI DevOps Engineer, you will build automated CI/CD frameworks, manage Kubernetes infrastructure, integrate MLOps practices, and enforce security protocols to enhance AI platform efficiency.

As a Senior Engineering Manager, lead AI platform teams, define technical vision, drive AI integration, manage compliance, and foster team growth.

The Principal Software Engineer (Full Stack) will lead the Evisort AI team in building AI-driven contract management solutions while collaborating with cross-functional teams and mentoring other engineers.

Design and develop AI-powered mobile applications for Android and iOS while utilizing cutting-edge AI development tools and collaborating with teams.

Join Gen Digital's Mobile Engineering team to build and scale AI-powered Android/iOS apps, leveraging cutting-edge AI tools and collaborative practices.

The role involves collaborating with various teams to build AI products, mentoring teammates, and managing functional areas from development to production.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

The role involves optimizing large scale AI/HPC networks, developing performance metrics, and enhancing infrastructure while engaging in significant travel for buildouts.