Ownership: Architect and lead enterprise-scale AI systems from concept to production Impact: Shape how AI is safely deployed across global, real-world use cases Leadership: Mentor engineers and define technical direction for AI delivery Tech: Work at the cutting edge of agentic AI, LLM systems and distributed architectures Environment: High-performing AI team solving complex, meaningful problems You’ll sit at the centre of AI engineering strategy, leading the design and delivery of advanced AI platforms that go beyond prototypes and into real production systems. This is a hands‑on leadership role where you’ll combine technical expertise with mentoring and establishing best‑practice. It's as green‑field as it gets within a large organisation! The Role: This is a Senior Lead AI Engineering role focused on building and scaling agentic AI systems and platforms. You’ll be responsible for designing complex AI architectures, implementing production‑grade systems, and setting the standards for how AI is built, evaluated and deployed. This isn’t experimentation in isolation — it’s about delivering reliable, scalable AI that works in the real world. What You’ll Own: You will architecture and deliver enterprise‑scale AI agent platforms You'll design multi‑agent systems and orchestration frameworks You will set AI safety and guardrails standards and be responsible for AI implementation You'll set technical standards and best practices for AI engineering You'll set standards for performance, scalability and reliability of AI systems You'll mentor and lead the team What You’ll Be Doing: Design and build distributed, fault‑tolerant AI systems with high availability and scalability. Agentic AI & Orchestration Develop multi‑agent systems with complex workflows, decision‑making logic and orchestration layers. Implement advanced prompting strategies, dynamic optimisation and context handling. AI Safety & Guardrails Build robust guardrails, monitoring systems and evaluation frameworks to ensure responsible AI usage. Performance & Scalability Optimise AI workloads with caching strategies, efficient data handling and system design. Monitoring & Reliability Create logging, alerting and observability systems to ensure AI applications perform consistently in production. Guide engineers, contribute to technical direction and raise the bar for engineering standards. Stay close to emerging AI research, evaluate new models and experiment with novel approaches. What You’ll Need: 8–10+ years in software engineering, with recent AI/ML experience Deep experience with agentic AI frameworks (e.g. LangChain, CrewAI, AutoGPT or similar) Strong experience building and scaling production AI systems Advanced knowledge of prompt engineering, few‑shot and in‑context learning Experience with vector databases and similarity search Strong understanding of AI safety, ethics and bias mitigation Experience with Docker, Kubernetes and distributed systems Experience with cloud platforms and infrastructure‑as‑code Proven experience leading teams and complex technical projects Strong communication skills across technical and non‑technical stakeholders Nice to Have: Experience with Model Context Protocol (MCP) Exposure to AI coding tools and agent‑based development workflows Background in large‑scale AI platform development Experience defining AI evaluation frameworks and benchmarks Location: 3 days per week hybrid in the office in Dublin City Centre. Please note: You must have the right to live/work in Ireland. About the Company: You’ll be joining a global data and AI organisation working with leading enterprises across industries including finance, healthcare, insurance and retail. The business is investing heavily in AI innovation, with a strong focus on building scalable, responsible systems that deliver real impact. Interested?: If you’re excited by designing large‑scale AI systems, leading engineering teams, and pushing the boundaries of agentic AI in production, this is the job for you! Apply now or give me a shout if you'd like to have a chat. #J-18808-Ljbffr
You’ll be joining a global eCommerce platform that enables brands to sell internationally without the usual complexity. Our client powers cross-border commerce for hundreds of retailers, handling everything from localisation and payments to logistics, tax, and compliance across 200+ destinations worldwide. Their Dublin engineering team is building the systems that sit at the core of that experience, high-scale, high-impact, and deeply technical. What’s in it for You Work on systems handling millions of global transactions at scale Own architecture decisions in a true Principal-level role High-impact domain, logistics, fulfilment, tracking, and cross-border complexity Strong engineering culture with a focus on quality, scalability, and autonomy Competitive salary + bonus + benefits What You’ll Do Lead the design and delivery of core services across logistics and order management systems Define and guide architecture for distributed, API-first microservices Build systems for fulfilment, shipping labels, and real-time tracking Drive engineering standards, clean code, testing, and system reliability Scale infrastructure and tooling to support rapid international growth Work closely with product and cross-functional teams to ship high-impact features What You’ll Bring 7+ years building large-scale, customer-facing systems Strong experience with distributed systems and microservices architectures Solid cloud experience (AWS preferred) Experience working in high-throughput, high-reliability environments Strong understanding of system design, performance, and scalability Comfortable leading technically while remaining hands‑on Nice to Have Experience in eCommerce, fintech, or logistics platforms Exposure to functional programming (not mandatory) Experience integrating with external systems (e.g. carriers, payments, APIs) Why This Role You’re not just building services, you’re shaping how global commerce actually moves. This team sits at the intersection of logistics, compliance, and real-time systems, integrating with carriers worldwide, handling taxation, and delivering a seamless experience to customers globally. It’s complex, high-scale, and very real-world. #J-18808-Ljbffr
nineDots.io in Dublin is seeking a Principal Engineer to lead the design and delivery of core logistics and order management services. You will drive architecture for distributed microservices and scale systems handling millions of transactions globally. Ideal candidates have over 7 years of experience in building large-scale systems with a solid understanding of cloud technologies and system reliability. The role offers a competitive salary with bonuses and a strong engineering culture emphasizing quality and scalability. #J-18808-Ljbffr
nineDots.io is seeking a Senior Lead AI Engineer in Dublin to architect and lead enterprise-scale AI systems. This hands-on leadership role emphasizes designing and delivering production-ready AI platforms and mentoring engineering teams. The ideal candidate has 8–10 years of software engineering experience, specifically with AI/ML systems, and is skilled in agentic frameworks. Join a global organization that invests heavily in AI innovation and responsible systems. #J-18808-Ljbffr
We’re working with a seriously interesting fintech that’s about to go live across Europe this summer. They’re building a B2B banking platform from scratch, think payments, FX, onboarding, lending, all wrapped in a modern, cloud-native stack. They’ve got their EMI licence in progress, a strong leadership team in place, and now need one key contractor. A high-calibre engineer who can help get them over the line. What’s in it for you Be involved at founding stage, not years in Work directly with the CTO and Principal Engineer Build a real product going live in months High ownership, no red tape Hybrid working (Dublin-based team) What you’ll be doing Designing and building core banking infrastructure Owning backend architecture (Java + AWS) Contributing across systems, deployment, and scaling Working closely with product and leadership What they’re looking for Strong backend engineer (10+ years ideally) Background in fintech (payments ideally) Someone who’s built modern systems, not legacy banking platforms Comfortable in fast-moving, high-ownership environments Nice to have Payments / KYC / onboarding experience Crypto / stablecoin exposure Startup or early-stage experience This isn’t a cushy “Staff Engineer in a 200-person team” role. It’s closer to: “come in, build, solve problems, and help get a fintech live”. If that excites you, you’ll love it. If not, probably not the right fit. This is a 6 month contract role with the possibility of being made permanent thereafter. #J-18808-Ljbffr
This is a role for a Principal Data Architect. It combines architecture and hands‑on implementation, supporting major client data initiatives from initial design through to build. You’ll design data architectures that solve real client problems, and then build them yourself. The goal is to keep adding engineering value well beyond the initial design phase. Role As a Principal Data Architect, you will: Design end-to-end data architectures for client initiatives, along with the diagrams, documentation, and decision records that go with them. Build the systems you design, taking them from initial sketches through to production. Work closely with client teams to understand their data landscape, constraints, and business goals, and shape practical solutions for them. Work alongside software, AI, and front‑end engineers to integrate data platforms into broader applications and workflows. Present your work in weekly demos and updates, representing both yourself and Manakau in front of client stakeholders. Bring good data engineering practice into client teams: modelling, pipelines, observability, and reliability. Stay involved after the initial architecture is in place, evolving the platform as the engagement continues. Help grow the engineering team by sharing what you know, mentoring colleagues, and setting a high standard for the work. What we’re looking for Specifically, you’ll bring: 8+ years of professional experience across data architecture and data engineering, with a track record of leading architecture decisions on large, complex systems Strong working knowledge of the modern cloud‑based data‑pipeline landscape, particularly Snowflake, AWS, and S3. AWS‑stack data‑warehouse and big‑data‑analytics experience is the natural starting point for us. Experience with more traditional self‑managed and hybrid data platforms (such as the Cloudera ecosystem) is a plus. Experience designing data architectures for real, complex systems, and producing clear documentation to go with them. Able to engage with a new client, survey their data estate (structured databases plus the unstructured stuff: emails, documents, tribal knowledge), interview the right people, understand what the business is actually trying to do, and come back with a future‑state architecture and a roadmap to get there. Strong, current hands‑on engineering skills. You can build what you design, and keep adding value throughout the engagement. Able to lead an implementation end‑to‑end, with a more junior engineer alongside you as a sidekick. You set direction, make the architectural calls, and drive delivery. Comfortable working across the full data lifecycle: modelling, pipelines, storage, integration, and the operational side. Confident communication skills, with the presence to represent your work in front of clients and in weekly demos. A consulting mindset. You can land in a new environment, get your bearings quickly, and start delivering. This role is full remote within Ireland - you need to be physically in Ireland with full working permissions. #J-18808-Ljbffr
nineDots.io, a global EdTech company, is seeking a Frontend Developer to join their new AI Lab in Dublin, Ireland. This role offers the chance to work on innovative AI-driven products, focusing on building and shipping features quickly in a hybrid setup. The ideal candidate will have 2+ years of frontend development experience, preferably with React or Vue, and strong communication skills for cross-team collaboration. Benefits include health insurance, a learning culture, and a modern office with wellness facilities. #J-18808-Ljbffr
You’ll be joining a global EdTech company operating at serious scale, think tens of millions of learners and billions of interactions annually, now building out a brand new AI-focused product team. This isn’t a typical “feature team” role. You’ll be part of a newly formed AI Lab, working in a fast-moving, startup-style environment, but with the backing, stability, and reach of an established platform. The focus is simple: build AI-driven products that actually improve how people learn. What’s in it for You Hybrid setup, 3 days onsite with a collaborative product team Work on genuinely new AI products, not legacy systems High ownership, you’ll see your work shipped and used quickly Strong learning culture with L&D budget + career progression Health insurance, pension, parental leave and solid benefits package Modern office setup with wellness, bike storage, etc. What You’ll Do Build and ship frontend features for new AI-driven products Work closely with product, design, and leadership to bring ideas to life Take features from concept → production, not just tickets Write clean, scalable TypeScript code with proper testing Contribute to architecture decisions as the product evolves Troubleshoot and solve real-world product challenges at speed What You’ll Bring 2+ years experience in frontend development Experience with modern frameworks (React or Vue ideally) Solid understanding of testing (unit + integration) Good grasp of design patterns and clean code principles Comfortable working in an agile, fast-moving environment Strong communication skills, you’ll be working across teams Nice to Have Exposure to AI / ML / LLM-based products Experience with component libraries or design systems Familiarity with Figma or working closely with design Some backend exposure (Python or similar) CI/CD experience Why This Role You’re not joining to maintain someone else’s system, you’re helping build something new. If you want a role where you can move fast, work on AI products that actually get used, and have real input into how things are built, this is that kind of opportunity. #J-18808-Ljbffr
nineDots.io is seeking a Senior Machine Learning Engineer to productionise AI within its SaaS platform. You will deploy ML models, build infrastructure for model performance, and collaborate closely with cross-functional teams. The role offers the flexibility of remote work anywhere in Ireland, hybrid, or office-based arrangements, with quarterly team meetings in Dublin. Ideal candidates have 5+ years of experience with machine learning systems and cloud deployment, particularly in AWS environments. #J-18808-Ljbffr
nineDots.io is looking for a Principal Data Architect to design and implement comprehensive data architectures. This full remote role requires a minimum of 8 years in data architecture and engineering, with expertise in AWS, Snowflake, and data pipeline management. You'll collaborate with clients to understand their needs and build solutions. Strong communication skills and a consulting mindset are essential. The position offers the opportunity to mentor junior engineers and evolve data platforms in real-world applications. #J-18808-Ljbffr
