Top Tech Jobs & Startup Jobs in Dublin

Lead hands-on development of secure, scalable AI and agentic platform capabilities. Design and integrate LLMs, AI services, workflows, knowledge bases, APIs, data pipelines, and orchestration layers. Translate architecture into production solutions, guide engineers and vendors, conduct design and code reviews, mentor team members, and ensure reliability, security, privacy, compliance, and scalability. Collaborate across product, business, data, architecture, and engineering teams to deliver reusable AI capabilities.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs and delivers scalable services, APIs, workflows, integrations, knowledge-base capabilities, and reusable AI components. Provides technical direction, reviews code, mentors engineers, coordinates vendors, and translates architecture into production-ready solutions. Partners across product, data, business, and engineering teams while ensuring security, privacy, compliance, reliability, scalability, and operational readiness.

Build and maintain backend services, REST APIs, and integrations supporting internal platforms, data products, analytics, and customer applications. Collaborate with product, architecture, data engineering, and data science teams to deliver secure, scalable solutions. Participate in design, coding, testing, code reviews, CI/CD, production support, troubleshooting, root cause analysis, monitoring, automation, and reliability improvements.

Leads hands-on development of AI and agentic platform capabilities, integrating LLMs, AI services, workflow engines, knowledge bases, APIs, and data pipelines. Translates architecture into secure, scalable production solutions; guides engineers and vendors; conducts design and code reviews; mentors team members; manages technical risks and trade-offs; and partners across product, business, data, architecture, and engineering teams to deliver reusable AI capabilities aligned with security, privacy, reliability, compliance, and scale requirements.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs scalable services, integrations, workflows, data pipelines, and reusable agent capabilities; integrates LLMs, AI services, orchestration platforms, knowledge bases, and vector search. Provides technical direction, reviews code, mentors engineers, coordinates vendors, supports migrations, and ensures secure, reliable, compliant, production-ready solutions.

Leads hands-on development of AI and agentic systems, including LLM integrations, orchestration layers, workflows, knowledge bases, APIs, data pipelines, and reusable platform capabilities. Translates architecture into production-ready solutions, guides engineers and vendors, reviews code, mentors junior staff, and ensures security, privacy, reliability, scalability, and compliance. Partners across product, business, data, architecture, and engineering teams to deliver AI-enabled consulting capabilities.

Develop and maintain secure, scalable backend services, RESTful APIs, and integrations supporting internal platforms, data products, and customer applications. Collaborate with product, architecture, data engineering, and data science teams; participate in design, testing, code reviews, CI/CD, production support, troubleshooting, and root cause analysis. Apply secure coding, observability, automation, and reliability practices across the software development lifecycle.

Leads hands-on development of scalable AI and agentic platform capabilities. Designs and delivers services, integrations, workflows, APIs, data pipelines, knowledge-base enhancements, and orchestration layers. Provides technical direction, reviews designs and code, mentors engineers, coordinates vendors, and ensures production solutions meet security, privacy, reliability, compliance, and scalability standards. Partners across product, business, architecture, data, and engineering teams to implement LLM-powered solutions and modernize existing components.

Leads hands-on development of secure, scalable AI and agentic platform capabilities. Designs and delivers reusable services, APIs, workflows, integrations, data pipelines, knowledge-base functionality, and orchestration layers using LLMs and modern AI tooling. Provides technical direction, reviews code, mentors engineers and vendors, supports architecture migration, and partners across product, business, data, and engineering teams. Ensures production readiness, security, privacy, compliance, reliability, scalability, and responsible AI practices.

Lead hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Responsibilities include designing scalable services, APIs, workflows, integrations, data pipelines, orchestration layers, and reusable AI capabilities. The role provides technical direction, code reviews, mentoring, architecture guidance, and cross-functional coordination while ensuring security, privacy, compliance, reliability, and production readiness. It also supports LLM integrations, knowledge bases, retrieval-augmented generation, cloud data platforms, migrations, and responsible AI practices.