Top AI Jobs in Dublin

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

As a Senior Backend Engineer, you will develop scalable AI integrations and tools, collaborate with teams, and enhance the AI platform at Contentful.

Develop AI-powered features for transaction automation, management accounts, and cash flow predictions in a fintech startup setting.

The role involves developing and implementing Generative AI solutions, optimizing AI inference systems, building APIs, and collaborating with teams to enhance supply chain management software.

As a Principal Machine Learning Engineer, you will drive high-impact AI product development, lead exploratory data analysis, and collaborate within cross-functional teams to deliver innovative solutions.

The Lead AI Engineer will lead the AI Ops team, developing automations and AI agents to improve internal operations and customer service in a fintech setting, while managing engineers and prioritizing tasks effectively.

As a Senior Product Designer, you will shape product experiences to improve operations for restaurants, collaborating with product managers and engineers, focusing on measurable business impact.

The Business Development Representative will drive revenue by generating pipelines, engaging prospects and customers, and collaborating across functions while developing product expertise in AI customer solutions.

The AI Support Engineer will solve complex customer issues, provide technical support for OpenAI products, and improve internal processes using AI and scripting.

The AI Strategy Lead will advise on AI opportunities, promote adoption across the organization, and shape scalable AI solutions while engaging business and technical teams.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

The Customer Solutions Director leads operational delivery and talent management for the EMEA team, overseeing quantum optimization projects and ensuring customer success through strategic guidance and team leadership.

The candidate will design and implement software incorporating machine learning algorithms, optimize data pipelines, develop APIs, and provide mentorship to Junior Engineers.

The Data Scientist will develop and deploy AI/LLM models for security solutions, collaborate across teams, and ensure robust deployments.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

Lead a team to drive digital transformation and implement AI strategies in marketing, ensuring best practices and enhancing product effectiveness.

This role involves improving AI systems' reliability, designing monitoring systems, managing failover systems, and leading incident responses for critical AI services.

As a Senior AI Product Manager, you'll lead AI product strategy and collaboration with AI teams, ensure customer-focused product development, and drive impactful outcomes in customer service AI solutions.