Top React Jobs in Dublin

Design and build scalable, production-grade agentic AI applications and platform capabilities. Apply generative AI and agentic patterns to improve engineering productivity across the PDLC/SDLC. Collaborate with product, data science, and engineering teams to take AI-enabled solutions from prototype to production while ensuring reliability, security, and observability.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-enabled workflows, CI/CD, automated testing, and cloud-native services. Partner across product, data science, and engineering to move prototypes to reliable, secure, observable production systems.

Design and build production-grade agentic AI applications and platform capabilities. Apply generative AI patterns and AI-assisted developer tooling to improve engineering productivity, productionize AI solutions, and drive platform innovation with a focus on reliability, security, and measurable business impact.

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.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD, automation, and cloud-native services while ensuring reliability, security, and measurable business impact.

Build scalable, production-grade AI and agentic applications and platform capabilities. Apply Generative AI and agent patterns to improve engineering productivity across the SDLC, productionize AI solutions with reliability, security, and observability, and partner with product, data science, and engineering teams to deliver measurable business value.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply AI patterns to improve engineering productivity across the product lifecycle, drive CI/CD and automation, partner with product and data science, evaluate emerging tools, and take AI-enabled solutions from prototype to secure, reliable production.

Design and build scalable, production-grade AI and agentic applications and platforms. Improve engineering productivity via AI-enabled workflows, CI/CD, automation, and developer tools. Partner with product and data science teams to take prototypes to production while ensuring reliability, security, observability, and maintainability.

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.

Design, build, and productionize AI-enabled, agentic applications and platform capabilities. Improve engineering productivity via AI-driven workflows, CI/CD automation, and developer tooling. Collaborate with product, data science, and engineering teams to deliver secure, reliable, scalable solutions.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted tooling and automation, drive AI-enabled solutions from prototype to production, and collaborate with product, data science, and engineering teams to deliver secure, reliable, and maintainable systems.

As a Full Stack Engineer II, you'll design tools for automating and managing CrowdStrike's cloud infrastructure while collaborating on software solutions and enhancing team skills.

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.

The Staff Software Engineer will design and develop frontend experiences for retail, collaborating with cross-functional teams and mentoring others while ensuring high-quality, scalable features.

Design and implement AI solutions, optimize systems, collaborate cross-functionally, mentor engineers, ensure quality and performance in software development.

Seeking a Software Engineer to enhance MongoDB Atlas by developing observability tools, contributing to coding best practices, and collaborating with team members. Responsibilities include fixing production issues and engaging in technical discussions.

The Engineering Manager will lead the PASS team, overseeing the development of the purchase and subscription experience, managing a full-stack team, and collaborating with cross-functional partners to drive revenue through innovative solutions and continuous improvement.

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

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

Build tooling, services, and reusable patterns for Agentic AI systems; design AI-enabled applications and developer workflows; evaluate models and frameworks; develop prototypes to production-ready solutions; improve developer experience through automation and platform capabilities; partner with stakeholders and evangelize best practices.

Build tooling, services, and reusable patterns to apply Generative and agentic AI to products and developer workflows. Design AI-enabled applications and integrations, evaluate models and frameworks, develop reusable services, improve developer experience via automation, and partner across product and engineering to prototype, validate, 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, evaluate models and frameworks, create developer-facing integrations, and contribute prototypes through validation while improving developer experience and promoting best practices across the organization.

Build tooling, services, and reusable patterns to apply generative and agentic AI in products. Design AI-enabled applications and developer workflows, evaluate models and frameworks, develop integrations and automation, and partner across teams to prototype, validate, and scale production-grade AI solutions focused on usability and developer experience.

Design and build tooling, services, and reusable patterns to apply Generative and Agentic AI across products and developer workflows. Implement AI-enabled applications, evaluate models/frameworks, develop integrations, improve developer experience through automation, and partner with stakeholders to prototype, validate, and scale AI solutions.

Design and build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Implement AI-enabled applications, evaluate models and frameworks, develop integrations and automation, prototype products, and improve developer experience while collaborating with product, engineering, and business stakeholders.