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Experience Level
Senior
Qualifications
Proven experience in AI and machine learning technologiesStrong programming skills in languages such as Python or JavaAbility to work collaboratively in a team-oriented environmentExcellent problem-solving and analytical skills
About the job
ServiceNow is seeking a Senior Delivery Acceleration AI Engineer based in Dublin. This role centers on enhancing delivery processes through advanced AI technologies. The main focus is to develop and improve solutions that allow customers to maximize the value they get from the ServiceNow platform.
Role overview
This position involves applying AI methods to streamline and optimize how services are delivered. The work supports customers in making better use of the ServiceNow platform’s capabilities.
What you will do
Build and refine AI-driven solutions for delivery acceleration
Work on initiatives that improve customer outcomes with the ServiceNow platform
Focus on continuous improvement of delivery processes using AI
Location
This role is based in Dublin.
About ServiceNow
ServiceNow is a leading digital workflow company that empowers organizations to work faster and smarter. Our cloud-based platform provides a range of solutions designed to streamline processes and enhance productivity.
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Role Overview Version1 is hiring an AI Engineer in Dublin to support projects across the public sector and utilities. This position suits mid-senior professionals with a strong interest in artificial intelligence and its use to improve public services.
Join Sprout Social, a leader in social media management, as a Senior Applied AI/ML Scientist. In this remote role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that enhance our platform and improve user experience. Collaborate with a talented team of engineers and data scientists to create impactful AI models that drive business outcomes.
POS-22139This role can be Office/Hybrid/Remote based within IrelandHubSpot is leading the charge in empowering businesses through innovative AI technology, and our AI Infrastructure group is pivotal to this mission. We are on the lookout for a Staff Software Engineer who possesses a strong passion for infrastructure and enhancing developer experiences to become a vital member of our AI Serving team. This team is responsible for the end-to-end management of HubSpot’s model inference and serving infrastructure, ensuring that our AI models are deployed reliably, scaled efficiently, observed meticulously, and operated in a cost-effective manner across all hublets and environments. Moreover, this team is the home for modern Python practices at HubSpot.Our team oversees the serving frameworks and libraries that facilitate synchronous, asynchronous, and offline inference, as well as model deployment pipelines, autoscaling, and resource management for both GPU and CPU. Our roadmap is focused on enhancing the reliability and efficiency of batch inference, improving model observability, and scaling our AI infrastructure in a cost-effective manner. Additionally, we are the custodians of core Python libraries and tools across HubSpot.As a Staff Software Engineer on the AI Serving team, you will:Develop and deploy production code that directly powers AI functionalities across HubSpot, serving as a critical component for impactful user and business outcomes at scale.Lead the advancement of our model serving and inference infrastructure, enhancing reliability, scalability, and cost-efficiency.Establish the technical direction for deploying and operating ML models at scale, guiding architectural decisions, cost optimizations, and developer experience enhancements.Collaborate closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving processes.Gain extensive insight into various HubSpot infrastructure systems by building and maintaining core Python libraries, offering an exceptional opportunity to understand HubSpot's inner workings.Work alongside HubSpotters across different functions including engineering, product, design, research, marketing, and sales, while gaining a broader understanding of how HubSpot operates as a business.Be empowered to express your authentic self and choose a work style and location that allows you to perform at your best, whether from home, in an office, or a combination of both.We are not solely seeking engineers with extensive experience; we value engineers who have demonstrated unique excellence, leadership, and the ability to elevate those around them.Our primary programming languages include Python and Java, but a variety of experiences are welcomed.
The OpportunityWe are seeking a pioneering Founding AI Engineer to develop systems that ensure AI operates in a safe, reliable, and repeatable manner at Grand. This pivotal role focuses on transforming intelligence into production-ready capabilities, combining an AI-first approach with engineering instincts for control, failure handling, and system integrity.This role is distinct from product feature development or research; you will not be responsible for user experience or model theory. Instead, your ownership will encompass AI operations within the system, including orchestration, guardrails, observability, auditability, and lifecycle management.As a close collaborator with the founders, product, data science, and regulatory teams, you will influence how AI decisions are triggered, constrained, inspected, and executed in a regulated environment. This position offers a chance to contribute significantly to the company's foundational structure.Your ResponsibilitiesDesign and implement the runtime and orchestration layer for AI systems across our platform.Transform probabilistic AI outputs into controlled, repeatable behaviors within the system.Define the processes for triggering, gating, validating, and executing AI decisions.Integrate guardrails, fallbacks, and confidence thresholds into AI workflows.Design human-in-the-loop and escalation pathways as necessary.Manage prompt lifecycle, including evaluation and versioning.Oversee context assembly, scoping, and data boundaries for AI tasks.Establish systems for logging, tracing, replaying, and auditing AI processes.Control latency, cost, reliability, and performance in production environments.Collaborate closely with AI data scientists to transition models and signals into production.Work together with product engineers to ensure safe AI integration within workflows.Ensure that AI systems are defensible, inspectable, and ready for regulatory scrutiny.
Role overview Jobgether is hiring an AI Automation Specialist/Engineer based in Ireland. This fully remote role centers on building automation systems that enhance lead generation, data processing, and client acquisition workflows for legal support services. What you will do Design and implement AI-powered solutions to extract, organize, and improve data from various sources. Integrate automated processes into CRM and outreach platforms to make client engagement more efficient. Work closely with leadership to identify and prioritize automation projects that deliver the most value. Develop scalable, production-ready systems that support every stage of the lead lifecycle, from data ingestion to client acquisition. Requirements Solid technical background in automation engineering, data management, and system integration. Experience designing and deploying AI-driven workflow automation solutions. Ability to work independently and communicate clearly with cross-functional teams. Interest in addressing complex data and workflow challenges using modern AI tools. Location This is a fully remote position open to candidates based in Ireland.
Intercom builds AI-powered customer service tools that help businesses deliver reliable, round-the-clock support. Our AI agent, Fin, and the Intercom Customer Service Suite combine automation with human expertise to handle millions of customer inquiries every month. Since 2011, nearly 30,000 businesses worldwide have chosen Intercom to raise their customer service standards. Role overview The Senior AI Infrastructure Engineer role focuses on developing and scaling the systems that train and deploy Intercom’s next generation of AI products. The AI Infrastructure team works across the stack, from GPU-level engineering up to the user-facing agents that power customer support. This team has built training pipelines and inference systems for models like Fin Apex, which are tailored for customer service and serve as the foundation for Intercom’s AI capabilities. What you will do Design and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Build and improve inference services to ensure fast, reliable experiences for clients, covering auto-scaling, routing, and failover. Optimize GPU-level performance by tuning kernels, improving resource utilization, and identifying bottlenecks in training and inference workflows. Work closely with ML scientists to implement new training and inference techniques. What we’re looking for Strong experience with model training or large-scale model inference, and hands-on knowledge of low-level GPU programming (such as CUDA or Triton). Experience in more than one of these areas is especially valuable. Location This position is based in Dublin, Ireland.
Catalyx is actively looking for a skilled AI Compliance & Validation Engineer to become a vital part of our team at a customer site located in Kerry.About Us:Catalyx is a pioneering machine vision and automation firm dedicated to merging cutting-edge technology with human expertise, assisting global manufacturers and logistics providers in reaching unparalleled levels of quality and throughput. With over three decades of experience, our team has been instrumental in optimizing operational processes across highly regulated sectors by developing innovative technology solutions and supplying industry experts. Our expanding presence includes 9 global offices, a workforce of over 550 professionals, and the successful execution of 3,000 projects to date. We pride ourselves on our ability to tackle unique challenges at scale and continuously push the boundaries of what is possible. To learn more, please visit www.catalyx.ai.Position Overview:As a trusted partner in delivering exceptional lifecycle services to regulated and high-stakes markets, Catalyx is committed to fostering innovation and excellence. We collaborate with life sciences and other highly regulated organizations to enhance operational efficiency and drive meaningful success. We are looking for an experienced engineer to facilitate the implementation, validation, and governance of AI-enhanced computer vision inspection systems utilized in pharmaceutical manufacturing.This role primarily centers around ensuring that AI inspection technologies comply with Good Manufacturing Practice (GMP) requirements, adhere to the expectations of the EU AI Act, and meet established validation standards, rather than developing AI models from scratch.The selected candidate will work in close collaboration with Engineering, Automation, Quality Assurance, and Validation teams to ensure that AI-driven inspection technologies are deployed in a compliant, robust, and operationally efficient manner.Key Responsibilities:Assist in the deployment of AI-enabled computer vision inspection systems within pharmaceutical manufacturing and packaging settings.Evaluate supplier AI systems, examining their capabilities against regulatory standards, including model architecture, training data methodology, performance characteristics, and change management protocols.Perform EU AI Act classification analysis and contribute to the formulation of governance frameworks for AI-enabled systems.Establish risk-based control strategies for AI systems, including monitoring frameworks, human oversight requirements, and lifecycle governance.
Full-time|On-site|Dublin, Ireland; London, England
At Intercom, we are revolutionizing customer service through our AI-driven solutions. Our mission is to empower businesses to deliver exceptional customer experiences.Our flagship AI agent, Fin, stands as the most advanced customer service AI in the industry, enabling businesses to provide round-the-clock, flawless service that enhances customer interactions. When paired with our Helpdesk, it forms the Intercom Customer Service Suite, a comprehensive solution designed for complex queries that may require human intervention.Founded in 2011 and serving nearly 30,000 businesses worldwide, Intercom is setting new industry benchmarks. Our commitment to pushing boundaries, rapid development, and delivering unparalleled value drives our success.What’s the opportunity?We are seeking experienced Senior Product Engineers to join our AI Group, focused on developing innovative AI-powered products. As a Product Engineer in Machine Learning, you will collaborate closely with ML Scientists and product teams to understand our offerings, customer needs, and the technical landscape.Your responsibilities will include defining new ML features, exploring suitable algorithms and technologies, and swiftly prototyping solutions for customer feedback.Our team operates with a strong product focus, working collaboratively with Product and Design teams. With dedicated engineers, we achieve fast production cycles, often launching beta versions within weeks of successful offline testing.We are passionate about machine learning and have implemented a range of technologies—from traditional supervised models to advanced unsupervised clustering algorithms and innovative transformer neural networks. We rigorously assess the customer impact of our deployed models.If you possess a strong analytical mindset and hands-on experience with ML systems, we are eager to connect with you!
ServiceNow is seeking a Senior Delivery Acceleration AI Engineer based in Dublin. This role centers on enhancing delivery processes through advanced AI technologies. The main focus is to develop and improve solutions that allow customers to maximize the value they get from the ServiceNow platform. Role overview This position involves applying AI methods to streamline and optimize how services are delivered. The work supports customers in making better use of the ServiceNow platform’s capabilities. What you will do Build and refine AI-driven solutions for delivery acceleration Work on initiatives that improve customer outcomes with the ServiceNow platform Focus on continuous improvement of delivery processes using AI Location This role is based in Dublin.
About AnthropicAt Anthropic, we are on a mission to develop AI systems that are not only reliable and interpretable but also steerable. Our primary goal is to ensure that AI technology is safe and advantageous for all users and society at large. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders, all working collaboratively to create beneficial AI solutions.Role OverviewAt Anthropic, we believe in the strength of collaboration. Our AI Reliability Engineering (AIRE) team plays a crucial role in maintaining the robustness of Claude, our flagship AI, ensuring it remains reliable for everyone who relies on it. We work closely with various teams within Anthropic to enhance reliability across our essential service paths—from the SDK, through our network, API layers, serving infrastructure, and accelerators, and back again. Our hands-on approach allows us to make impactful improvements during incidents and in collaborative projects.Reliability is an emergent quality that extends beyond individual teams. Our role involves taking a comprehensive view of the systems, offering a unique opportunity for dynamic, cross-functional engagement with the most critical aspects of our operations.
Full-time|On-site|Dublin, Ireland; London, England
At Intercom, we are pioneering the future of customer service through artificial intelligence. Our mission is to empower businesses to create exceptional customer experiences.Our flagship AI agent, Fin, represents the forefront of customer service technology. By offering seamless, 24/7 support, Fin enhances customer interactions and redefines service excellence. When paired with our Helpdesk, it evolves into the Intercom Customer Service Suite, which provides AI-enhanced solutions for intricate queries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 businesses globally, Intercom is establishing a new benchmark in customer service. Our commitment to innovation drives us to push boundaries, work with urgency, and consistently deliver outstanding value to our clients.What is the opportunity?We are on the lookout for Staff Product Engineers to join our AI Group, focusing on the development of AI-driven products. As a Product Engineer specializing in machine learning (ML), you will collaborate closely with both our ML Scientists and product teams. A deep understanding of our products, customers, and technological framework is essential.Your role will involve defining new ML features, exploring suitable algorithms and technologies, and rapidly delivering prototypes to our customers.We are a highly product-focused team that collaborates with Product and Design teams across the organization. Our dedicated engineers enable quick transitions to production, often releasing beta versions within weeks following successful offline testing.We are passionate about leveraging machine learning technology, having successfully productized a range of solutions from traditional supervised models to innovative applications of transformer neural networks. Our commitment to testing and measuring the real-world impact of each model we deploy is unwavering.If you are an experienced product engineer with a strong analytical mindset and hands-on experience with ML systems, we invite you to connect with us!
Catalyx is actively looking for a dedicated AI Compliance & Validation Engineer to become part of our dynamic team at a client location in Kerry.About Us:Catalyx is a pioneering machine vision and automation company, merging cutting-edge technology with skilled professionals to assist global manufacturing and logistics companies in reaching unprecedented standards of quality and efficiency. With over three decades of experience, our team has been instrumental in optimizing operational processes across highly regulated sectors by innovating new technology applications and offering expert support. With 9 global offices, a workforce of over 550, and 3,000 successful projects to date, we have the expertise and global presence to tackle unique process challenges at scale, all while maintaining our vision to achieve the unprecedented. For more details, visit www.catalyx.ai.Your Role:As a trusted partner, Catalyx is committed to providing top-notch lifecycle services to highly regulated and high-risk markets. We collaborate closely with life sciences and other regulated organizations to enhance their efficiency and foster success. In line with this commitment, we continuously enhance our on-site teams to bolster customer operations.We are in search of an experienced engineer to support the deployment, validation, and governance of AI-powered computer vision inspection systems within pharmaceutical manufacturing settings.This position emphasizes the implementation and operational compliance of AI inspection technologies in accordance with GMP directives, EU AI Act prerequisites, and established validation standards, rather than developing AI models from the ground up.The ideal candidate will collaborate closely with Engineering, Automation, Quality Assurance, and Validation teams to ensure that AI-driven inspection technologies are deployed in a compliant, effective, and robust manner.Key Responsibilities:Assist in the implementation of AI-enabled computer vision inspection systems in pharmaceutical manufacturing and packaging environments.Evaluate supplier AI systems and assess their compliance with regulatory requirements, focusing on model architecture, training data methodologies, performance metrics, and change management protocols.Perform classification analysis under the EU AI Act and contribute to the establishment of governance frameworks for AI-enabled systems.Develop risk-based control strategies for AI systems, encompassing monitoring frameworks, human oversight mandates, and lifecycle governance protocols.
Role Overview Twilio is hiring a Staff Engineer, AI Security to help strengthen security systems using artificial intelligence. This fully remote position is based in Ireland. What You Will Do Design, implement, and maintain security protocols that use AI to protect Twilio’s infrastructure. Work closely with teams across the company to identify risks and improve security measures. Apply deep knowledge of artificial intelligence to develop new approaches for detecting and responding to threats. Collaboration This role partners with cross-functional teams to ensure security practices are integrated throughout Twilio’s systems and operations.
At Intercom, we are at the forefront of AI-driven customer service, dedicated to empowering businesses to deliver exceptional customer experiences.Our flagship AI agent, Fin, represents the pinnacle of customer service AI technology, enabling businesses to provide continuous, flawless service that enhances customer interactions. By integrating Fin with our Helpdesk, we offer a comprehensive solution known as the Intercom Customer Service Suite, designed to tackle complex, high-touch inquiries that necessitate human intervention.Founded in 2011, Intercom has gained the trust of nearly 30,000 businesses globally, continuously setting the benchmark for outstanding customer service. Our core values drive us to push boundaries, innovate rapidly, and consistently deliver remarkable value to our customers.What is the opportunity?We are seeking experienced Senior Product Engineers to join our AI Infrastructure team at Intercom, focused on the development of AI-powered products. As a Product Engineer within AI infrastructure, you will collaborate closely with our Machine Learning (ML) engineers and scientists. You will gain a profound understanding of our product offerings, ML technology stack, and our development processes, with the aim to enhance and expedite these processes further.The broader AI group is tasked with defining new ML features, investigating suitable algorithms and technologies, and quickly deploying initial prototypes to our customers.Our AI infrastructure team is building a platform that enables rapid adaptation to new AI advancements within days, while ensuring a reliable service for our customers. We provide foundational services for AI systems and develop framework-level code utilized daily by other engineers and scientists in the AI division.Our passion lies in leveraging machine learning technology, having successfully productized a spectrum of solutions ranging from traditional supervised models to innovative unsupervised clustering algorithms and advanced transformer neural networks. We rigorously test and measure the tangible customer impact of every model and adjustment we implement.If you are a seasoned backend engineer with an analytical mindset and practical experience in ML systems and platforms, we invite you to connect with us!
About Our TeamAt OpenAI, our AI Success Engineer team collaborates with some of the most ambitious organizations globally to convert state-of-the-art AI technologies into tangible business benefits. We accompany our customers from their initial deployment to large-scale enterprise integration, focusing on technical integration, workflow transformation, and ongoing program and product delivery.Our clientele includes rapidly growing digital natives, large global enterprises, government institutions, and educational organizations. Each engagement presents a unique opportunity to influence the future of work, productivity, and innovation. This position plays a vital role in fulfilling that vision.About the RoleThe AI Success Engineer will ensure the post-sales success of a diverse portfolio of customers through vigilant monitoring, proactive engagement, and strategic technical interventions. This role is essential for identifying risks related to adoption and expansion, coordinating shared resources, and providing hands-on support when needed.This position requires a blend of operational execution, customer advisory services, technical support, and cross-functional collaboration. You will closely partner with Customer Education, Solutions Architects, User Operations, Sales, and Solutions Engineering teams to ensure our customers remain healthy, unblocked, and achieve their key adoption milestones.Success in this role translates to maintaining robust account health at scale, enhancing customer adoption outcomes, and providing consistently high-quality technical experiences.Your ResponsibilitiesAnalyze account health indicators and adoption metrics to identify at-risk or expansion-ready customers without dedicated success coverage.Engage proactively with customers through outreach to seize expansion opportunities or address adoption and technical challenges.Coordinate resources across AI Deployment Managers, Solutions Architects, and User Operations to deliver prompt support and interventions.Manage instance administration and initial technical triage, including MCP refreshes, configuration updates, and error resolution.Communicate adoption trends, risks, and necessary interventions across the customer base to Customer Education and cross-functional partners, while also identifying patterns in customer feedback to provide insights to Product and Engineering teams.
About Intercom Intercom builds AI-driven tools that help businesses deliver strong customer service. Nearly 30,000 companies worldwide use Intercom’s platform, which combines automation with human support for more complex questions. Our main AI agent, Fin, works alongside the Intercom Helpdesk as part of the Intercom Customer Service Suite. Fin handles customer support around the clock, and can escalate more involved issues to people when needed. This approach helps businesses offer consistent, high-quality customer experiences. Founded in 2011, Intercom continues to set new standards for customer service. We value challenging assumptions, moving quickly, and delivering meaningful results for our clients.
At Intercom, we pride ourselves on revolutionizing customer service through advanced AI technology. Our mission is to empower businesses to deliver exceptional customer experiences.Our leading AI agent, Fin, is recognized as the most sophisticated customer service solution available, enabling businesses to provide consistent, high-quality support. By integrating Fin with our Helpdesk, we offer a comprehensive solution—the Intercom Customer Service Suite—designed to tackle complex inquiries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 companies worldwide, Intercom is redefining customer service standards. Our core values drive us to push boundaries, innovate rapidly, and consistently deliver unparalleled value to our clients.What is the opportunity?We are actively seeking Staff Product Engineers to join our AI Group, focusing on the development of Intercom's AI-driven products. As a Product Engineer in machine learning (ML), you will collaborate closely with both our ML Scientists and product teams, ensuring a deep understanding of our products, customer needs, and the ML technology stack.This group is responsible for defining innovative ML features, researching suitable algorithms and technologies, and swiftly delivering prototypes to our customers.Our team prioritizes product excellence, working in partnership with Product and Design teams. Our dedicated engineers enable us to deploy quickly, often reaching beta stages within weeks after successful offline testing.We are passionate about leveraging machine learning technology, having productized everything from traditional supervised models to groundbreaking unsupervised clustering algorithms and advanced transformer neural networks. We rigorously test and measure the real-world impact of each model we implement.If you are a seasoned product engineer with an analytical mindset and hands-on experience with ML systems, we want to hear from you!
Full-time|$3M/yr - $3M/yr|On-site|Dublin, County Dublin, Ireland
About SeapointSeapoint is revolutionizing financial management for European startups and scale-ups. We offer an AI-driven business account that consolidates payroll, expenses, invoice payments, and reporting into a single platform, simplifying financial operations.Founded by Sean Mullaney, former European CIO at Stripe, alongside a talented team of alumni from Stripe, Wise, Wayflyer, Nubank, and Tide, we recently secured $3M in pre-seed funding from Frontline Ventures. After nine months of dedicated development, we are now in private beta, collaborating with numerous VC-backed startups who are gaining unprecedented visibility into their financial landscapes.Our mission is clear: to bridge the gap for European startups caught between the limitations of neobanks and the complexities of traditional banking. By automating the tedious aspects of finance through AI, we empower founders to focus on what truly matters—the growth of their businesses.Discover more about our innovative solutions here.About the RoleWe are seeking an experienced AI Software Engineer to take ownership of and enhance the intelligent systems that fuel our financial platform. You will directly influence how founders manage their finances by developing AI features that enrich transaction data, automate invoice matching, and provide insightful reporting and forecasting.Key ResponsibilitiesVendor Enrichment Pipeline: Enhance our existing system that aggregates bank transactions from various sources (open banking, accounting software, email invoices) and enriches them with vendor details. This role includes improving search accuracy, normalization logic, and data integration.Invoice Management Automation: Expand the AI capabilities behind our bill payment product, which scans invoices and matches them to transactions. There is significant potential for enhancements in risk assessment, beneficiary creation, and payment automation.AI Evaluation Infrastructure: Advance our evaluation framework by utilizing a dedicated environment to test AI prompts and agents. Implement industry best practices for accurately measuring AI system performance.Feature Development: Spearhead technical discovery for AI-driven functionalities across reporting, forecasting, and other essential areas. Propose and scope innovative capabilities that enrich the financial experience for business owners, steering us towards agent-based systems.
