Top AI Jobs in Dublin

The AI Engineer will design and optimize AI features for Salesforce, work on GenAI solutions, and ensure effective integration with contact platforms and compliance.

The Lead Data Analytics & AI Engineer will lead the technical strategy and engineering best practices for data modeling, ingestion, and advanced analytics, while mentoring engineers and collaborating across teams.

Develop and maintain AI-powered applications, integrate LLMs, design front-end interfaces, apply MLOps, and ensure compliance with AI regulations.

Lead the design and optimization of cloud-native AI solutions and MLOps pipelines. Collaborate across teams, manage cloud environments, and mentor junior members.

The AI Infrastructure Engineer will develop systems for model training and inference, optimize GPU performance, and mentor junior engineers, contributing to AI products at scale.

Design and build applications using Python while supporting component design, optimizing performance, collaborating with clients, and working in an agile environment.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

The AI Video Editor will develop and produce performance marketing videos, collaborate with various teams, and innovate video production processes while maintaining brand consistency and optimizing video performance based on data.

The AI Inference Engineer optimizes large language models for various environments, focusing on performance, scalability, and reliability in AI inference serving.

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

As Engineering Manager for AI Models Infrastructure, you will lead a team responsible for building foundational infrastructure for AI products while contributing directly to production code and enhancing developer experience.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

Join Intercom's AI Group as a Staff Product Engineer to build AI-powered products, collaborating with ML Scientists and product teams, and driving software development from ideation to implementation.

The Principal Product Manager will lead AI-driven pricing and intelligence systems for travel sectors, managing model lifecycles and cross-functional projects to ensure financial accuracy and performance insights.

The role involves evaluating AI outputs, generating content, and providing feedback for model improvement while ensuring cultural relevance and accuracy. Candidates should possess native language fluency and strong analytical skills.

As an AI Platform Engineer, you will enhance AI tooling for developers, automate tasks, and promote AI adoption to improve productivity and reduce friction in software engineering at Intercom.

The job involves leading AI product development, defining strategy, managing the product lifecycle, collaborating with stakeholders, and ensuring compliance in financial services.

Develop and maintain back-end AI applications, integrate LLMs, design front-end interfaces, and implement MLOps practices while collaborating with cross-functional teams.

The AI Product Engineer will develop user-facing products, using AI to enhance decision-making in paid advertising and will own features from ideation to launch.

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 Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

The Junior/Mid AI Legal Specialist will manage compliance workflows related to AI, e-commerce laws, and data protection, while collaborating with the Ethics and Compliance Officer to ensure legal safety and effectiveness. Responsibilities include contracts preparation, risk assessments, and tracking legal developments.

The Principal AI Product Manager will architect internal AI strategy, drive AI adoption across the organization, and interface with executives to transform fragmented AI usage into a unified, secure platform.

Lead Vertical AI transformation and optimize marketing sites. Oversee AI tools, manage projects, establish best practices, and enhance site performance.