Top AI Jobs in Dublin

The role involves building scalable code, integrating AI solutions, collaborating with teams, mentoring colleagues, and enhancing products.

As a Senior Software Engineer, you will lead software development for AI and machine learning platforms, mentor team members, and collaborate with stakeholders to deliver high-performing solutions.

Develop and improve the GitLab product with focus on AI capabilities and integration of technologies while collaborating in a remote team environment.

As an Intermediate Frontend Engineer, you will develop UI for GitLab's AI discovery platform, collaborate with teams, and maintain code quality.

As a Senior AI Engineer, you will lead the development of AI-powered features, manage ML systems, and enhance the tech stack within a cross-functional team.

The Firmware Engineer will design, create, and debug embedded systems code, engage in code reviews, and collaborate with teams to deliver features.

Lead the design and optimization of Zendesk's OLAP data domain, ensuring scalable Snowflake architecture and delivering insights through advanced data modeling, governance, and collaboration with product teams.

Join the AI Infrastructure team as a Senior Product Engineer, building scalable AI-powered systems, collaborating with ML engineers, and raising technical standards.

The AI Prompt Engineer designs and implements workflows to integrate AI into operations, creating a prompt library and enhancing AI interactions.

The role involves training large-language models by evaluating code snippets, repairing AI-generated code, and injecting feedback into the RLHF pipeline.

As a Software Engineer for AI, you'll help train large-language models by evaluating and improving production-grade code, ensuring correctness and efficiency.

As a Software Engineer for AI, you'll train language models by evaluating code, providing feedback, and improving code quality with a focus on TypeScript. Requires strong problem-solving and communication skills.

As a Software Engineer for AI, you'll train large-language models by evaluating and refining code, providing feedback for improvements, and ensuring quality through detailed reviews.

The role involves training LLMs to write production code by evaluating, ranking, repairing code snippets, and providing feedback. Strong code review skills and attention to detail required.

The Senior Product Engineer will build and enhance AI products, collaborating with teams to implement machine learning features and ensure product quality.

Lead the design and implementation of AI solutions and localization strategies at Workday, mentoring engineers and collaborating with teams to enhance product offerings.

As a GTM AI Automations Engineer, you'll build infrastructure for scaling go-to-market teams, deploying AI agents, and automating workflows.

The Senior AI Solutions Engineer will assist customers in deploying AI solutions, configure platforms, conduct migrations, and provide training and support.

The Principal AI Engineer will develop and deploy AI solutions, manage project lifecycles, and collaborate with cross-functional teams to optimize AI systems.

Development and deployment of Generative AI and ML solutions, architecture of scalable AI solutions on cloud platforms, and collaboration across teams.

The role involves improving LLMs by comparing, ranking, and refactoring AI-generated code, using expertise in Python and a science background for effectiveness.

The role focuses on developing AI solutions for business challenges, collaborating with teams to integrate AI applications and improve decision-making capabilities.

Train large-language models by evaluating and improving AI-generated code. Responsibilities include ranking code, refactoring, and injecting feedback into the RLHF pipeline.

Train large-language models by evaluating and improving AI-generated code. Review, rank, and provide feedback on code snippets for correctness and style. Engage in a fully remote work environment.

The role involves evaluating and training AI on code, providing feedback on code quality and efficiency, and improving AI's coding skills.