Top AI Jobs in Dublin

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

This role involves developing Tines' Records solution by enhancing data management capabilities, writing high-quality code, and mentoring other engineers while collaborating with product and design teams.

As a Senior AI Engineer, you'll design, build, and scale AI agents for restaurant management, improving operations through innovative technology and practices.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Develop and maintain AI applications, integrate LLMs, design front-end interfaces, apply MLOps practices, and support junior members while ensuring compliance with regulations.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Lead the architecture and implementation of AI features for the RHOAI platform, collaborate with teams, and ensure quality through testing and CI/CD practices.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

As an AI Engineer, you will develop and optimize Large Language Model services, focusing on risk processing in commercial insurance, collaborating across teams, and enhancing evaluation and deployment strategies.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The Principal AI Architect leads AI strategy, engages clients in workshops, designs AI solutions, and ensures best practices for AI implementation.