Top React Jobs in Dublin

Develops agentic AI systems and scalable software using multi-agent workflows, tool-calling, orchestration, and emerging standards. Evaluates AI models based on cost, latency, reliability, and capability; builds production integrations with Java, Spring Boot, REST APIs, modern UI frameworks, Docker, Kubernetes, and CI/CD. Works AI-first throughout the software development lifecycle, contributes to product ideation, and communicates solutions to stakeholders in an R&D environment.

Build AI-first software and agentic AI systems using multi-agent workflows, tool-calling, and orchestration. Evaluate AI models, develop scalable production integrations, apply emerging standards, and contribute to product ideation in an R&D environment. Collaborate with stakeholders, communicate AI concepts, and maintain high standards for developer experience, security, code quality, and innovation.

Develop production-ready agentic AI systems and scalable software integrations in an R&D environment. Work AI-first across coding, design, planning, reviews, and ideation. Build multi-agent workflows and tool-using agents, apply emerging standards such as MCP and AGENTS.md, evaluate AI models, and use modern AI development tools. Collaborate with stakeholders to create innovative products while maintaining code quality, security, developer experience, and awareness of emerging AI technologies.

Develops innovative, production-ready software and agentic AI systems using multi-agent workflows, tool-calling, orchestration, and emerging AI standards. Evaluates AI models based on cost, latency, reliability, and capability; builds integrations with Java, Spring Boot, modern UI frameworks, Docker, Kubernetes, and CI/CD. Collaborates in an R&D environment on product ideation, solution presentation, developer experience, code quality, and rapid market delivery.

Develops AI-first software and agentic AI systems using multi-agent workflows, tool-calling, orchestration, and emerging standards. Builds scalable production integrations, evaluates AI models, applies modern AI development tools, and contributes to product ideation and stakeholder presentations. The role also requires full-stack software engineering with Java, Spring Boot, frontend frameworks, Docker, Kubernetes, CI/CD, and REST APIs.

Build innovative, production-ready software and agentic AI systems using multi-agent workflows, tool-calling agents, and orchestration. Evaluate AI models based on cost, latency, reliability, and capability; apply emerging standards such as MCP, AGENTS.md, and SKILLS; and contribute across the full software development lifecycle. Collaborate in an R&D environment to develop concepts, present solutions, accelerate product delivery, and maintain strong security, quality, and developer experience practices.

Develops AI-native software and agentic AI systems using multi-agent workflows, tool-calling, and orchestration. Builds scalable production integrations, evaluates AI models based on cost, latency, reliability, and capability, and applies emerging standards such as MCP, AGENTS.md, and SKILLS. The role also involves Java and Spring Boot development, REST APIs, frontend frameworks, containerization, Kubernetes, CI/CD, security practices, stakeholder communication, and innovation in an R&D environment.

Develop AI-first software across the full SDLC, including agentic AI systems, multi-agent workflows, tool-using agents, and integrations. Evaluate AI models based on cost, latency, reliability, and capability; apply emerging standards such as MCP, AGENTS.md, and SKILLS; build scalable production software; and collaborate with stakeholders in an R&D environment.

Develops AI-first software and agentic AI systems, including multi-agent workflows, tool-using agents, and orchestration. Evaluates AI models and emerging frameworks, applies standards such as MCP and AGENTS.md, and builds scalable production integrations. The role also involves Java and Spring Boot development, REST APIs, front-end frameworks, containerization, CI/CD, security practices, stakeholder presentations, and innovation in an R&D environment.

Develops production-ready agentic AI systems and scalable integrations using multi-agent workflows, tool-calling patterns, and orchestration. Works AI-first across the software development lifecycle, evaluates models based on cost, latency, reliability, and capability, applies emerging standards, and contributes to product ideation and stakeholder presentations. Uses Java, Spring Boot, modern UI frameworks, Docker, Kubernetes, CI/CD, and current AI development tools in an R&D environment.

Develops AI-native software and agentic AI systems using multi-agent workflows, tool-calling patterns, and orchestration. Designs scalable production integrations, evaluates AI models based on cost, latency, reliability, and capability, and applies emerging standards such as MCP, AGENTS.md, and SKILLS. Builds full-stack applications with Java, Spring Boot, React, and related technologies while contributing to product ideation, stakeholder presentations, software quality, and innovation in an R&D environment.

Designs and builds scalable ServiceNow CRM features for customer service workflows, case management, work orders, and guided agent experiences. Owns software components from architecture through testing and deployment, develops AI-powered workflows using LLMs and autonomous agents, optimizes performance and reliability, leads technical initiatives, and mentors engineers. Requires strong full-stack engineering experience, production AI integration expertise, incident response experience, and proficiency with Java, JavaScript or TypeScript, React, testing frameworks, and CI/CD.

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 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, evaluate models and frameworks, develop integrations and automation, improve developer experience, and partner with stakeholders to prototype and scale AI 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.

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.

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.

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.

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 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 deliver prototypes to production in collaboration with product and engineering stakeholders.

Leads the planning, architecture, development, and delivery of scalable software solutions using AI and emerging technologies. Designs secure and resilient systems, drives automation across the software lifecycle, supports continuous deployment, and collaborates with global engineering, data, product, operations, and customer teams. Acts as a technical subject matter expert for Emerging Data Signals, evaluates new technologies, and guides customer integrations and platform improvements.

Leads the design, development, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives technical architecture, automation, secure integrations, continuous deployment, and production reliability. Collaborates with global engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for Emerging Data Signals and supporting innovation from concept through production.