Top AI Jobs in Dublin

The role involves providing legal guidance on global privacy and AI issues, collaborating with teams to ensure compliance, and developing scalable processes.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.

Lead full‑stack development of high‑traffic public websites, integrate AI tooling into the SDLC, design scalable backend and performant UIs, maintain cloud infrastructure, CI/CD, monitoring, and testing, and own services under a you‑build‑it‑you‑run‑it philosophy.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

Own product direction and execution for major AI Neobank app areas. Define roadmap, priorities, metrics, and launch quality across squads. Guide PMs, designers, and engineers, balance regulatory and business constraints, and improve post-launch outcomes.

Own product areas in BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define problems, scope, metrics, roadmap; work with engineering, design, data, ops, compliance and business teams. Launch features, monitor performance, iterate using data, feedback and experiments. Balance speed, UX, business impact, compliance and operational complexity.

Work from the CEO Office to turn CEO priorities into execution across product, hiring, licensing, partnerships, market launch and operations. Track OKRs, decisions, blockers, owners and deadlines; prepare briefs, updates, research notes and action trackers; coordinate cross-functional teams; identify and close execution gaps; own urgent cross-departmental problems.

Build and ship agent orchestration workflows, integrations, and shared infrastructure for AI-driven growth across paid media, lifecycle, organic content, CRO, incentives, and referrals. Implement monitoring, audit logging, creative generation pipelines, and reliable integrations so domain experts can tune and operate workflows independently.

Design and build a production multi-agent harness and MCP integrations that operate across ERPs, CRMs, and business tools. Own end-to-end production concerns (reliability, observability, permissions, safe workflow execution), scope the product, make architecture decisions, and ship features working closely with CTO, product, engineering, and design. Stay current with agent frameworks and use tools like Claude Code in development.

Full‑stack engineer building end-to-end features across a React/TypeScript dashboard, embeddable JavaScript SDK, and Elixir/Phoenix real‑time back end. Work includes LLM-driven product features, streaming responses, real‑time pipelines (Kafka, ClickHouse, RabbitMQ), agentic development infra, performance optimization, and spec-driven implementation and code review.

Build and ship Kotlin-based native Android features for an AI-enabled neobank. Design clean user flows, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it benefits UX.

Drive AI transformation by selling Microsoft AI Business Solutions (Copilot, Copilot Studio, Viva, Cloud PC/Virtualization). Engage business decision makers with consultative selling, build ROI-based cases, coordinate cross-functional teams, grow Copilot adoption and frontline worker solutions, and support partner-led motions to close deals while maintaining account plans and compliance.

Design, build and ship native Android features (Kotlin) for an AI-enabled neobank app. Collaborate with product/design, integrate backend APIs, improve performance, stability and UX, debug production issues, use analytics to iterate, and add on-device AI where it improves user journeys.

Design, build and operate AI-powered applications and LLM/multi-agent systems. Implement scalable back-end services, front-end interfaces, API integrations, MLOps, and ensure secure, compliant Responsible AI solutions. Collaborate with cross-functional teams, mentor junior staff, document models, and drive adoption and optimisation across the AI lifecycle.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

Build AI-native product features end-to-end: prototype rapidly, ship iterative releases, engage customers for feedback, and own quality, scope, and outcomes. Work in short cycles using agentic coding and modern stack to move from 0-to-1 in a startup environment focused on human-risk cybersecurity.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

The AI Operations Specialist will support CoinMarketCap's AI team by conducting feature evaluations, developing tools and automations, managing outreach, and collaborating with internal stakeholders to enhance AI operations.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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.