Top React Jobs in Dublin

The Staff Software Engineer will develop AI agents for restaurant workforce management, utilizing Java or Kotlin and modern web technologies. Responsibilities include full-stack development, collaboration across teams, mentoring, and championing best practices in agent development.

Hands-on lead engineer building Agentic AI tooling, services, and reusable patterns. Design and implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, improve developer experience through automation, and partner with stakeholders to prototype and scale AI solutions across Mastercard.

Lead engineer to design and build agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, improve developer experience with automation and CI/CD, and collaborate with product and business stakeholders to prototype and scale solutions.

Design and build Agentic AI tooling, services, and integrations. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, create reusable patterns, improve developer experience through automation, and partner across product and engineering to prototype, validate, and scale AI solutions.

Build and ship AI-enabled applications, tooling, and platform services focused on agentic and generative AI. Design integrations, evaluate models and frameworks, improve developer experience via automation, and collaborate across product and engineering to prototype, validate, and scale solutions.

Design and build Agentic AI tooling, services, and reusable patterns; implement AI-enabled applications and developer-facing capabilities; evaluate models and frameworks; improve developer experience via automation; partner across product and engineering to prototype and scale AI solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications and integrations, evaluate models, develop prototypes from concept to validation, and improve developer experience through automation and platform capabilities while partnering with product and business stakeholders.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

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, improve developer experience, and partner with stakeholders to prototype and scale AI solutions.

Build platform tooling, services, and reusable patterns to apply generative and agentic AI across products. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience through automation and CI/CD, and partner with stakeholders to prototype, validate, and scale AI solutions.

Lead engineer role to build tooling, services, and reusable patterns for Agentic and Generative AI. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to deliver prototypes and production-ready solutions.

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

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and deliver prototypes to production in collaboration with product and engineering stakeholders.

Build and ship Agentic AI tooling, services, and integrations that enable teams to prototype, validate, and scale AI-enabled products. Design orchestration, tool-calling, context management, and developer-facing workflows; evaluate models and frameworks for quality, cost, latency and reliability. Partner with product and engineering stakeholders to deliver reusable, production-grade patterns and improve developer experience through automation and platform thinking.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to prototype and scale production solutions.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.

Build and ship Agentic AI tooling, services, and reusable patterns to enable AI-enabled applications and developer workflows. Design and implement AI orchestration, tool-calling, and context management, evaluate models and SDKs, improve developer experience via automation and CI/CD, and partner with product and business teams to prototype, validate, and scale production solutions.

Lead engineer role building Agentic AI tooling, services, and reusable patterns. Design and implement AI-enabled applications and developer workflows, evaluate models and frameworks, build prototypes to production, improve developer experience through automation, and partner across product and engineering to scale AI solutions and share best practices.

Build and ship AI-enabled applications, tooling, and platform capabilities for agentic AI. Design reusable services, evaluate models and frameworks, improve developer workflows, and partner across product and engineering to prototype and scale AI solutions.

Build and ship Agentic AI tooling, services, and reusable patterns. Design AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, improve developer experience with automation, and partner across product and engineering to prototype, validate, and scale AI solutions.

Design, build, and scale agentic and generative AI tooling, services, and developer-facing platforms. Implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with product and business stakeholders to prototype and productionize solutions.

Design and build Agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, develop frontend (React/Next.js) and backend (Java/Python) systems, improve developer experience via automation and CI/CD, and partner with stakeholders from prototype to validation while sharing best practices.

Lead engineer building tooling, services, and reusable patterns for Agentic and Generative AI. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience through automation, and partner with product and business stakeholders to prototype, validate, and scale AI solutions.

Design, develop, and maintain secure, scalable production services. Produce architecture artifacts, implement REST APIs, operate services on AWS with containers and CI/CD, use AI-assisted dev tools responsibly, analyze data for system improvements, and ensure application resiliency and security.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply generative AI and agentic patterns to improve engineering productivity across the SDLC. Partner with product, data science, and engineering to turn prototypes into secure, reliable, maintainable production solutions.