Top Tech Jobs & Startup Jobs in Dublin

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable cloud architectures (AWS, Cloudera, Databricks), APIs and microservices, integrate LLM frameworks (e.g., LangChain), monitor model performance, and ensure security/compliance. Mentor engineers, drive technical design, and collaborate with product and data teams to productionize AI capabilities.

Lead architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, mentor engineers, ensure observability, CI/CD, security, and performance while coordinating cross-functional, global teams.

Lead architecture and technical strategy for a global virtual card platform. Design and build scalable, secure, highly available services; collaborate with product and regional teams; mentor engineers; implement Domain Driven Design; ensure operability, security, and delivery of complex software solutions.

Lead engineering teams to build and operate cloud-native API platforms exposing foundation model capabilities. Drive API and distributed systems design, security, scalability, observability, CI/CD, and model integration while managing delivery, hiring, and stakeholder alignment.

Design, build and maintain full-stack web applications and data pipelines. Implement responsive UIs, backend data models and REST APIs, ensure scalable analytics, write and review tests, mentor junior engineers, improve team processes, and collaborate with product and cross-regional teams.

Lead engineering strategy and delivery for agentic AI products and platforms. Build and scale teams, drive architecture for production-grade agent systems, establish reusable frameworks, partner cross-functionally, and ensure security, observability, and governed AI adoption.

Lead a cross-functional engineering team to design, build, and scale full-stack web applications and data pipelines. Provide technical direction, mentor engineers, drive product roadmap execution, collaborate across teams, and contribute as a hands-on developer to deliver high-quality, API-driven analytics products.

Lead architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, modernization to microservices, ensure performance, security, observability, mentor engineers, and coordinate cross-functional global teams.

Design, build, and maintain full-stack web applications and data pipelines. Implement responsive UIs, scalable analytics/data models, RESTful APIs, and high-quality tested code. Mentor juniors, collaborate across product and design, and drive process improvements.

Design and deliver enterprise-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices; deploy scalable, secure systems on cloud platforms (AWS, Cloudera, Databricks). Collaborate cross-functionally, monitor model performance, ensure data governance and compliance, and mentor junior engineers.