Top Tech Jobs & Startup Jobs in Dublin

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 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. 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 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, 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 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 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 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 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.