Top Software Engineer Jobs in Dublin

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native services and APIs, optimize model performance in production, mentor engineers, and enforce data governance and compliance.

Lead engineering and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable cloud solutions (AWS, Cloudera, Databricks), build APIs and microservices, implement MCP-style orchestration, monitor model performance, ensure security and compliance, and mentor engineering teams.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Build and maintain knowledge bases, architect scalable cloud solutions (AWS, Cloudera, Databricks), develop APIs/microservices, ensure security/compliance, monitor model performance, mentor engineers, and collaborate cross-functionally to translate business needs into production AI systems.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and scalable cloud-native systems (AWS, Cloudera, Databricks). Mentor engineers, ensure security/compliance, optimize model performance, and collaborate cross-functionally to productionize AI applications.

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

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, LLM-driven apps (LangChain), secure cloud/databricks integrations, APIs/microservices, monitor model performance, and mentor engineers while ensuring compliance and operational excellence.

Lead architecture and technical strategy for a global virtual card platform. Design and build scalable, secure, highly available services, mentor teams, collaborate with product and enterprise stakeholders, and drive engineering excellence and delivery.

Lead the design and delivery of enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native systems (AWS, Cloudera, Databricks), develop APIs and microservices, implement LLM frameworks (e.g., LangChain), optimize models in production, and collaborate across product, engineering, and data teams while ensuring governance, security, and compliance.

Lead architecture, design, and development of a cloud-native experimentation platform. Drive scalable microservices, APIs, and analytics using Databricks and cloud (AWS/Azure). Guide cross-functional teams, set technical vision, ensure performance, security, observability, and mentor engineers while modernizing legacy systems and integrating GenAI capabilities.

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 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.

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 security, operability, and delivery of complex software solutions across cloud, containers, and high-throughput systems.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available systems; apply Domain Driven Design; mentor engineering teams; collaborate with product and enterprise functions; drive PoCs and delivery; ensure operability, security, and continuous improvement.

Lead the architecture, design, and development of a cloud-native experimentation and analytics platform. Build scalable microservices, APIs, and data pipelines (Databricks/Spark), drive technical vision and modernization, ensure performance/security/reliability, mentor engineers, coordinate across global teams, and champion observability and continuous delivery practices.

Lead design and delivery of enterprise-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, LLM-driven applications (LangChain), and scalable cloud architectures (AWS, Cloudera, Databricks). Implement secure microservices/APIs, monitor model performance in production, mentor engineers, and ensure compliance with data governance and security standards.

Lead architecture and technical strategy for a global virtual card platform. Design and deliver scalable, secure, highly-available services, mentor teams, collaborate with product and enterprise functions, and drive engineering excellence and continuous improvement.

Lead design and development of a cloud-native experimentation platform: define architecture and non-functional requirements, build scalable microservices and APIs, implement big-data pipelines with Databricks/Spark, modernize systems to cloud (AWS/Azure), mentor engineers, drive cross-team alignment, and champion engineering best practices for performance, security, and continuous delivery.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available services, collaborate with product and regional teams, mentor engineers, drive PoCs and platform delivery, and ensure operability and corporate security compliance.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices; architect scalable cloud/data platforms (AWS, Cloudera, Databricks); implement LLM orchestration (LangChain, MCP); monitor and optimize production model performance; ensure data governance, security, and compliance; mentor engineers and contribute to technical design.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect secure, scalable cloud/data systems (AWS, Cloudera, Databricks), build APIs and microservices, implement LangChain-based apps, optimize production model performance, and mentor engineers while ensuring data governance and regulatory compliance.

Lead architecture, design, and development of a cloud-native experimentation platform. Drive technical vision, build scalable microservices and APIs, optimize big-data pipelines (Databricks/Spark), ensure performance, security, and reliability, mentor engineers, and coordinate cross-functional global teams to deliver enterprise-grade analytics products.

Lead architecture and technical strategy for a global virtual card platform: design scalable, secure systems, mentor teams, drive engineering excellence, implement Domain Driven Design, ensure operability and high availability, and collaborate with product and enterprise stakeholders.

Lead architecture, design, and build of a cloud-native experimentation platform. Develop scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, modernize systems, ensure performance, security, observability and CI/CD, collaborate across global teams, and mentor engineers.