Top AI Jobs in Dublin

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Senior Product Designer, you will enhance user experience for AI products, collaborating with cross-functional teams and conducting user research to inform design decisions.

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.

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 Services Consultant ensures successful customer onboarding for Zendesk products by managing project delivery, guiding solution design, and optimizing customer experiences through automation and AI integrations.

We seek an AI Engineer to build AI-powered applications, focusing on backend development, AI/ML frameworks, prompt engineering, and cloud services.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

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 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.

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

The role involves developing an AI compiler for NextSilicon's platforms, working hands-on in a collaborative team environment to achieve high-performance computing results.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

The Staff ML Engineer will design and optimize AI architectures integrating DSP pipelines with neural networks, collaborating across teams to implement AI solutions and prototype models for production.

Develop and optimize AI models in PyTorch for NPU architecture, analyze existing frameworks, and collaborate with the compiler team to enhance performance.

The VP of Business Development will lead strategic partnerships in the adtech industry, expand performance solutions, identify revenue opportunities, and manage stakeholder relationships.

As a Senior AI Motion Designer/Video Editor, you will create innovative AI-driven visual content, lead character design, and enhance storytelling using various generative tools.

The Director of AI Engineering will lead AI innovation, develop strategies, mentor teams, and oversee R&D initiatives to enhance product offerings and operational efficacy at Scorebuddy.

The AI Specialist, Customer Success ensures customers achieve business outcomes using Zendesk's AI solutions by driving adoption, managing health, advocating for clients, and collaborating with internal teams.

As an AI Video Editor, you'll create compelling AI-driven video content, develop character narratives, and refine workflows using generative AI tools, while ensuring brand alignment.

Enable internal teams to design, build, and scale AI-powered automations using n8n, focusing on requirements discovery, workflow implementation, and lifecycle ownership.

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.

As a Backend AI Engineer, you will design and implement AI features, manage AI initiatives, and collaborate across teams to leverage AI for payment solutions.