Top AI Jobs in Dublin

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.

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.

Own product areas within AI stockbroking and broader financial services, including defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial workflows. Launch features, monitor performance, use research and metrics to guide iterations, and balance speed, customer experience, business impact, compliance, and operational complexity.

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

The Senior Software Engineer will lead application modernization efforts, leveraging tools and techniques including Generative AI to enhance software architectures and implement MongoDB solutions for clients.

Own the end-to-end strategy, roadmap, backlog, technical design, and outcomes for an AI-powered finance product. Balance money-movement correctness, reliability, security, regulatory requirements, and user experience while partnering with engineering, compliance, operations, treasury, finance, and design. Define responsible AI use cases, evaluation methods, human oversight, and failure handling. Drive launches through partner and regulatory gates and ensure financial data remains accurate, traceable, and trustworthy.

Leads development and deployment of expert and generalist robot policies for industrial automation. Designs task-planning and policy-learning systems using hierarchical planning, reinforcement learning, and hybrid methods. Develops simulation and real-world datasets, guides sensor integration, collaborates across embedded and hardware teams, and advances AI platform architecture, CI/CD, and MLOps. Provides technical leadership, establishes roadmaps, mentors engineers, and deploys robotics algorithms into real-world systems.

Lead product direction, roadmaps, standards, and success metrics for major areas of KIRA’s AI neobank app. Guide PMs, product owners, designers, and engineers across multiple squads while balancing UX, data, engineering, regulatory, operational, and business needs. Drive launches, product quality, post-launch learning, prioritization, and continuous improvement across financial services including insurance, payments, savings, investing, and travel.

Lead product direction and execution for major areas of KIRA’s AI Finance App across insurance, payments, savings, investing, travel, and related financial services. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple workstreams or squads. Guide product managers, product owners, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business considerations.

Own product areas for KIRA’s AI stockbroking and financial services applications. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights.

Own product areas for an AI neobank app across insurance, payments, savings, investing, travel, and other financial services. Define user problems, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Own AI Investing product areas across financial services, defining user problems, product direction, scope, metrics, roadmaps, and launches. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, metrics, experiments, and production insights to improve products, balance trade-offs, and drive rapid iteration with high ownership.

Leads global privacy and AI legal matters for a SaaS employment platform. Advises Product, Engineering, Security, and business teams on privacy by design, AI governance, data protection, workforce data, incidents, regulatory compliance, vendor reviews, transfers, and contract terms. Builds scalable policies, controls, templates, training, and customer-facing trust materials while monitoring global privacy and AI regulations.

Own product areas within AI Stockbroking and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; launch and monitor features; and drive continuous improvements using data, research, feedback, and production insights.

Own product areas within AI Investing and related financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, metrics, experiments, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, experiments, metrics, and production insights to launch, monitor, and iteratively improve products while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product direction, scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use research, feedback, metrics, and production insights to drive continuous iteration.

Own product areas within KIRA’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; launch and monitor features; and iterate using data, research, feedback, and production issues.

Own product areas within AI stockbroking and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, launch features, monitor performance, use research and feedback to guide decisions, and drive continuous iteration while balancing user experience, business impact, compliance, and operational complexity.

Own product areas across AI Finance, including insurance, payments, savings, investing, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; and use data, research, feedback, and production insights to iterate after launch.

Own product areas for KIRA’s AI Investing and broader financial services products. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and drive data- and feedback-informed iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas across financial services, defining user problems, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, metrics, experiments, and production insights to make decisions, launch features, monitor performance, and drive continuous improvement while balancing speed, usability, business impact, compliance, and operational complexity.

Own product areas across BJAK’s financial services and AI Investing portfolio. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and continuously improve products using data, research, feedback, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights. Balance speed, user experience, business impact, compliance, and operational complexity.