Top Tech Jobs & Startup Jobs in Dublin

Design and build scalable, production-grade AI and agentic applications and platforms. Apply agent orchestration, generative AI, and developer tooling to improve engineering productivity. Partner across product, data science, and engineering to deliver secure, reliable, observable, and maintainable solutions from prototype to production.

Build, test, and deploy AI/ML solutions including transformer and generative models. Support data preparation, feature engineering, model training, serving, evaluation, monitoring, and integration into applications while applying software engineering and MLOps best practices.

Build, test, and deploy transformer-based and generative AI models. Support data preparation, feature engineering, training pipelines, model serving, evaluation, monitoring, and integration into applications using MLOps and software engineering best practices.

Lead administration, monitoring, patching, troubleshooting and automation of enterprise load balancer platforms. Ensure high availability, implement monitoring strategies, collaborate with engineering and delivery teams, and train operations staff to resolve complex network and application traffic issues.

Design, build, and deploy transformer-based and generative AI models into production. Develop training pipelines, feature engineering, model serving, and MLOps practices. Collaborate with product, data, and engineering teams, perform model evaluation and performance tuning, and maintain production monitoring and lifecycle management.

Lead backend engineer for Mastercard's commercial virtual payments platform. Own design, development, and maintenance of high-performance, high-volume Java services; define features with product and tech leads; implement REST/SOAP APIs; ensure SLAs, reliability, and cloud-native deployments; mentor team members and improve processes in an agile environment.

Contribute to development, testing, and deployment of transformer-based and generative AI models. Build data preparation, feature engineering, training pipelines, and model-serving solutions. Support integration into applications/APIs, monitoring, validation, and MLOps practices while collaborating with cross-functional teams and applying software engineering best practices.

Lead daily administration, monitoring, patching, and automation of enterprise load balancer platforms. Troubleshoot complex network and application traffic issues, design monitoring strategies, support multi-cloud deployments, and drive cross-team incident resolution while maintaining high availability and security.

Design, build, and deploy transformer-based and generative AI models into production. Develop data pipelines, feature engineering, training workflows, model serving, and MLOps (tracking, versioning, testing, monitoring). Collaborate with product, data, and engineering teams, perform code reviews, and troubleshoot and optimize production model performance.

Lead engineer for Mastercards commercial virtual payments platform. Develop high-performance, high-volume Java applications (Spring/Hibernate), design and maintain REST/SOAP APIs, collaborate with product and cross-functional teams, ensure SLAs, promote cloud-native solutions (Cloud Foundry/AWS), mentor engineers, and drive process and quality improvements.