Top React Jobs in Dublin

Design and build scalable, production-grade agentic AI applications and platform capabilities. Apply AI and agentic patterns to improve developer productivity across the SDLC, build cloud-native services, automate PDLC/CI-CD workflows, and partner with product and data science to deliver secure, reliable, production AI solutions.

Design and build tooling, services, and reusable patterns to apply generative and agentic AI to products and developer workflows. Implement AI-enabled apps and integrations, evaluate models and frameworks, improve developer experience through automation, and prototype and scale solutions in collaboration with product and engineering stakeholders.

Build and scale agentic AI tooling, services, and integrations. Design AI-enabled applications and developer workflows, evaluate models and frameworks, prototype products, and improve developer experience through automation and platform-level patterns.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns for reliability, observability, security, and cost control. Drive end-to-end SDLC, mentor engineers, collaborate with AI, product, and platform teams, and operationalize AI solutions from prototype to governed production.

Lead hands-on design and delivery of agentic AI applications and platform capabilities. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve AI-enabled developer workflows, ensure security, observability, resiliency and cost control, mentor engineers, and collaborate with product, data science, and security teams to move prototypes to governed production.

Design and build production-grade, AI-enabled and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, and AI tooling to improve developer productivity. Build cloud-native services with reliability, observability, security, and CI/CD. Partner with product, data science, and engineering to move prototypes to production and drive platform-level engineering improvements.

Lead hands-on design and delivery of secure, scalable agentic AI applications and cloud-native services. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve developer workflows with AI, mentor engineers, and collaborate with product, AI, security, and platform teams to move prototypes to governed production.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD, automation, and observability. Collaborate with product, data science, and engineering teams to move AI solutions from prototype to production while ensuring security, reliability, and maintainability.

Build tooling, services, and reusable patterns to apply generative and agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience via automation, and partner with stakeholders to prototype and scale AI solutions.

Design, build, and productionize scalable AI and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, RAG, inference APIs, and AI tooling to improve developer productivity. Deliver cloud-native services using Kubernetes and managed AWS/Azure services, ensuring reliability, observability, security, and maintainability. Partner with product, data science, and engineering teams to translate ideas into production-grade solutions and drive technical innovation.

Build tooling, services, and reusable patterns to apply generative and agentic AI across Mastercard. Design and implement AI-enabled applications and developer-facing workflows, evaluate models and frameworks, deliver prototypes to production, improve developer experience through automation, and collaborate with product and business stakeholders to scale AI solutions.

Design and build production-grade, AI-enabled and agentic applications and platforms. Apply agent orchestration and generative-AI patterns to improve developer productivity, reliability, and observability. Partner with product, data science, and engineering teams to take prototypes to production, automate PDLC/SDLC, and evaluate emerging tools while maintaining security, performance, and governance.

Design and build scalable, production-grade AI and agentic applications and developer platforms. Apply agentic patterns and AI tooling to improve engineering productivity, productionize AI solutions, and drive automation, CI/CD, reliability, and governance across the software development lifecycle.

Design and build production-grade AI and agentic applications and platform capabilities. Apply agentic patterns to improve engineering productivity, productionize AI solutions, implement CI/CD and automation, ensure reliability, security, and observability, and partner across product, data science, and engineering to deliver scalable developer-facing tooling and services.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, develop integrations and automation to improve developer experience, and collaborate across product and engineering to prototype and scale solutions.

The Senior Software Engineer will develop AI-enabled applications and tooling, ensuring scalability and usability while collaborating with product and engineering teams.

Design and build agentic and generative-AI applications, tooling, and reusable platform services. Evaluate models and frameworks, implement developer-facing workflows, improve developer experience, and partner across product and engineering to prototype and scale AI-enabled solutions.

Design and build scalable, production-grade AI and agentic applications and platforms. Apply agentic patterns and AI tooling to improve developer productivity, CI/CD, testing, reliability, and security. Partner with product, data science, and engineering to take prototypes to production and evaluate emerging tools.

Lead hands-on design and delivery of secure, scalable agentic AI applications and platform capabilities. Drive architecture, implementation, SDLC, observability, security, and cross-functional collaboration to take AI solutions from prototype to governed production. Mentor engineers and shape roadmaps to enable reliable, maintainable, and high-impact product delivery.

Lead design and deliver production-ready agentic AI applications and platform capabilities. Define engineering patterns, drive end-to-end SDLC, mentor engineers, ensure security, observability, reliability, cost controls, and collaborate with Product, Applied AI, Data Science, and stakeholders to move AI solutions from prototype to governed production.

Design and build production-grade AI and agentic applications and platforms. Apply agentic patterns to improve engineering productivity, implement CI/CD and automation, deploy cloud-native services, and collaborate with product and data science to deliver secure, reliable, scalable AI-enabled solutions.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns, ensure reliability, security, observability, and cost control. Drive SDLC, mentor engineers, collaborate with product and AI teams, and translate concepts into governed, scalable production deployments.

Lead design and delivery of secure, scalable agentic AI applications and cloud-native services. Drive architecture, implementation, observability, CI/CD, and governance; mentor engineers and collaborate with product, AI, security, and platform teams to move AI solutions from prototype to production.

Design and build production-grade agentic and AI-enabled applications and platforms, improve developer productivity with AI-assisted workflows, implement cloud-native services (Kubernetes, AWS/Azure), and drive technical innovation, reliability, security, and automation across the software development lifecycle.

Lead hands-on design and delivery of production-ready, secure, scalable agentic AI applications. Define engineering patterns, drive SDLC from prototype to production, improve AI-enabled developer workflows, mentor engineers, and collaborate with product, data science, security, and platform teams to deliver measurable business value.