Top Tech Jobs & Startup Jobs in Dublin

Build end-to-end AI-native product features across frontend, backend, and model integrations. Design and deploy agent workflows, integrate LLMs, memory, and external tools, and ensure real-time streaming, low-latency interactions, reliability, observability, and robust fallback/recovery. Collaborate with ML, backend, and product teams and iterate based on real-world usage.

Build and ship end-to-end AI features, shaping model behavior and surrounding systems. Design prompts, tools, memory, and agent workflows; convert model outputs into reliable behavior; debug across model, infra, orchestration, and UX; optimize latency, cost, and reliability; and develop evaluation frameworks to measure real-world performance.

Build and maintain a production-grade iOS app using Swift and SwiftUI, integrate AI features via backend APIs and on-device models, design AI UX patterns, optimize performance and battery use, capture user signals for AI evaluation, collaborate with backend and ML engineers, and ensure App Store quality, stability, and production reliability.

Build and maintain a production Android app in Kotlin that integrates AI features (chat, vision, voice). Design AI UX patterns, optimize performance and memory, implement analytics and logging, collaborate with backend and ML teams, and ensure stability, security, and scalability in production.

Own and ship core ML subsystems end-to-end for a proactive, long-horizon AI assistant. Work includes data preparation, training, evaluation, inference, debugging production failures, optimizing for latency/cost/reliability, and mentoring other ML engineers.

Build and productize AI-native systems for a fintech neobank: AI agents, RAG/LLM-powered workflows, tool integrations, and automations for onboarding, KYC, support, risk, CRM and operations. Focus on production reliability, evaluation, guardrails, latency, cost, security and compliance while collaborating with product and engineering teams.

Build and maintain backend services, APIs and workflows for an AI neobank. Support fintech products (payments, wallet, savings, investing, insurance), integrate partners (banks, payment gateways, insurers), design reliable systems for accounts, transactions, reconciliation and notifications, and improve system reliability, observability, security and performance for regulated financial products. Collaborate with product, mobile and operations teams to ship customer-facing journeys.

Build and maintain backend services and APIs for onboarding, accounts, payments, cards, transfers, rewards, FX, KYC and risk flows. Design reliable, secure, observable systems for real customer transactions, integrate with partners and AI services, ensure data integrity and incident handling, and collaborate with product and frontend teams to launch and improve financial products at scale.

Build and productionize AI-native workflows, assistants, agents and automation for a neobank app. Integrate LLMs with product data, APIs and knowledge bases, design evaluation/monitoring/fallbacks, prototype quickly and collaborate with product and ops to improve customer support, onboarding, payments and internal tools.

Build end-to-end customer-facing and internal features for BJAK's AI Neobank app: web flows, backend APIs, admin tools, dashboards and operational systems. Work with product, design, mobile and operations to launch fast, integrate APIs, handle data flows, improve production reliability, use analytics and feedback to iterate, and build tools to reduce manual work.