Top Tech Jobs & Startup Jobs in Dublin

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.

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.

Run full-cycle recruitment across multiple functions and regions: take briefs, source (LinkedIn, job boards, referrals), screen, interview, manage ATS, build pipelines, close roles quickly, and improve hiring processes and employer brand.

Design, build and ship Android and/or iOS features for an AI Neobank. Create mobile flows for insurance, payments and claims; integrate APIs; handle edge cases, performance, crashes and analytics; collaborate with product, design and backend; support fast launches and experiments.

Design end-to-end mobile and web product experiences across insurance, payments, claims and investments. Create user flows, wireframes, prototypes and polished interfaces; build and maintain design systems; collaborate with PMs and engineers; iterate using user feedback and product data to improve usability and accessibility.

Design elegant, intuitive mobile interfaces for iOS and Android across BJAKs financial products. Create wireframes, prototypes, production-ready UI, and maintain mobile design systems. Collaborate with product and engineering to ensure pixel-perfect, accessible, and responsive implementations, iterating based on analytics and user feedback.

Design polished, mobile-first interfaces and prototypes for BJAK's AI and financial products. Convert requirements into wireframes, flows and high-fidelity UI, evolve the design system, collaborate with PMs and engineers, iterate using user feedback and analytics, and ensure accessibility, responsiveness and visual consistency across devices.

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.

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.