Top Tech Jobs & Startup Jobs in Dublin

Develop and maintain secure, scalable backend services, RESTful APIs, and integration components. Collaborate with product, architecture, data engineering, and data science teams to deliver production-ready solutions. Participate in design, testing, code reviews, CI/CD, monitoring, troubleshooting, root cause analysis, and reliability improvements while following security, privacy, and compliance standards.

Leads hands-on development of scalable AI and agentic platform capabilities, integrating LLMs, AI services, workflow engines, knowledge bases, and orchestration layers. Designs and delivers APIs, services, data pipelines, event-driven workflows, and reusable platform components. Provides technical direction, reviews code, mentors engineers, coordinates vendors, and ensures secure, reliable, compliant, production-ready solutions. Partners across product, engineering, architecture, business, and governance teams to execute AI transformation initiatives.

Build and maintain backend services, RESTful APIs, and integration components supporting scalable data, analytics, and AI-enabled capabilities. Collaborate with product, architecture, data engineering, and data science teams to deliver secure, reliable software. Participate in design, coding, testing, code reviews, CI/CD, troubleshooting, root cause analysis, monitoring, automation, and production support while following security, privacy, and compliance standards.

Leads hands-on development of AI and agentic systems, reusable platform services, integrations, workflows, data pipelines, and developer capabilities. Translates architecture and product priorities into secure, scalable production solutions; guides engineers and vendors; reviews designs and code; supports migrations; and partners across product, business, data, architecture, and engineering teams. The role also advances LLM, orchestration, knowledge-base, FinOps, TokenOps, governance, reliability, and responsible AI practices.

Leads hands-on development of AI and agentic platform capabilities, including LLM integrations, orchestration, workflows, APIs, data pipelines, and knowledge bases. Translates architecture and product priorities into secure, scalable solutions; guides engineers and vendors; conducts design and code reviews; mentors team members; and ensures reliability, privacy, security, compliance, and production readiness.

Leads hands-on development of AI and agentic systems for a scalable enterprise AI platform. Designs and delivers reusable services, integrations, workflows, APIs, data pipelines, knowledge-base capabilities, and orchestration layers. Provides technical direction, reviews code, mentors engineers and vendors, and partners across product, business, architecture, and engineering teams. Ensures production solutions meet security, privacy, compliance, reliability, scalability, and cost objectives.

Lead hands-on development of secure, scalable AI and agentic platform capabilities. Design and integrate LLMs, AI services, agent frameworks, workflow engines, knowledge bases, APIs, data pipelines, and orchestration layers. Translate architecture and product priorities into production-ready solutions, provide technical direction, review code, mentor engineers, coordinate vendors, and ensure reliability, security, privacy, compliance, and scalability. Support AI platform migration, reusable engineering patterns, FinOps, TokenOps, and commercialization of AI-enabled consulting solutions.

Leads hands-on development of AI and agentic systems, including LLM integrations, reusable platform services, APIs, workflows, data pipelines, knowledge bases, and orchestration capabilities. Translates architecture into production-ready solutions, mentors engineers and vendors, conducts design and code reviews, manages technical risks, and ensures security, privacy, reliability, scalability, and compliance across distributed AI platforms.

Leads hands-on development of AI and agentic platform capabilities, including LLM integrations, orchestration, knowledge bases, workflows, APIs, data pipelines, and reusable services. Translates architecture and product priorities into secure, scalable production solutions; guides engineers and vendors through design, code reviews, delivery, and mentoring. Partners across product, business, data, and engineering teams while ensuring reliability, privacy, security, compliance, and responsible AI practices.

Leads hands-on development of AI and agentic platform capabilities, including LLM integrations, orchestration layers, APIs, workflows, data pipelines, and knowledge-base features. Translates architecture into scalable production solutions, guides engineers and vendors, reviews code, mentors team members, and ensures security, privacy, reliability, compliance, and operational standards. Partners across product, business, data, and engineering teams to deliver reusable AI capabilities and support transformation initiatives.