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Experience Level
Mid to Senior
Qualifications
Proven experience in AI and machine learning techniques. Strong programming skills in languages such as Python or Java. Ability to work collaboratively in a team-oriented environment. Excellent problem-solving skills and analytical thinking.
About the job
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.
About Version1
Version1 is a leading technology consulting firm dedicated to delivering innovative solutions to the public sector and utility companies in Ireland. Our mission is to harness advanced technology to improve service delivery and operational efficiency.
Innovative Technology that Transforms TravelAt CarTrawler, we are a leading global travel technology company, facilitating seamless connections among individuals, destinations, and a world of opportunities. Our services range from enhancing car rental solutions to pioneering innovative ways to enhance mobility, making travel experiences smoother for millions…
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!
Who We AreAt Cornmarket, we are dedicated to supporting the financial wellbeing of public servants and their families. With over 50 years of experience, we specialize in delivering the best financial services tailored for public sector employees, offering everything from car, home, health, and life insurance to income protection, retirement planning, and more.Role PurposeWe are seeking a motivated Customer Contact Agent to join our Life Sales team. In this role, you will be responsible for scheduling appointments with our existing clients on behalf of our Financial Consultants, primarily through outbound calls. You will efficiently manage our consultants' diaries to ensure all appointments align with client expectations.This entry-level position in the Life Department is an excellent opportunity for individuals aspiring to build a career in financial services. You will receive comprehensive on-the-job training and coaching, with strong encouragement to pursue QFA qualifications to enhance your career trajectory.Key ResponsibilitiesEngage in outbound calls and respond to inquiries from members of public sector unions to schedule appointments with our Consultants.Achieve monthly targets focused on call volume and appointment setting, with a lucrative bonus structure attached.Handle client interactions in a professional and timely manner, prioritizing customer satisfaction.Cross-sell additional products and services offered by Cornmarket.Execute tasks in compliance with established procedures and scripts.Perform various administrative tasks, including data entry, logging, and scanning.Participate in weekly team meetings to discuss performance and strategies.Continuously seek and propose enhancements to existing processes.Benefits We OfferFlexible working arrangements, including options for remote work under our Cornmarket Flex initiative.Significant investment in your professional development, including insurance and relevant qualifications.Annual leave, with increases based on tenure.Flexibility to take additional annual leave.Attractive pension contribution rates.Health insurance or wellness subsidy.Fully paid family leave options (maternity, paternity, surrogacy).Performance-based bonuses and commissions.Income protection plans.Life insurance coverage.Discounts on a range of financial products.
Join Contentful as a Senior Backend Engineer and play a pivotal role in our AI Platform team. You will be responsible for designing, developing, and maintaining scalable backend services that power our innovative solutions. This is an exciting opportunity to work with cutting-edge technologies in a collaborative environment.
Intercom is a leading AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our AI agent, Fin, stands out as the most sophisticated customer service AI available, enabling businesses to offer round-the-clock, flawless customer service and significantly enhance their customer interaction quality. Fin can be integrated with our Helpdesk to form the Intercom Customer Service Suite, delivering AI-powered assistance for more intricate or personalized inquiries needing human intervention.Founded in 2011 and trusted by nearly 30,000 businesses across the globe, Intercom is redefining customer service standards. Guided by our core values, we continually push boundaries, build with urgency and precision, and consistently provide outstanding value to our customers.What’s the opportunity?Intercom’s websites, including intercom.com and fin.ai, serve as vital growth drivers for the company — facilitating storytelling, branding, experimentation, and product discovery. As our Lead Principal Engineer, you will be instrumental in shaping the technical direction and architectural advancement of our web platform and systems.You will serve as the technical lead across our marketing and growth web surfaces. This role involves cross-functional engineering leadership, collaborating with marketing, analytics, design, data science, and engineering teams to ensure our web stack is contemporary, efficient, measurable, and enjoyable to work on.Your role will entail a high degree of autonomy where you will be responsible for establishing the long-term technical strategy for the team and executing it effectively.What will I be doing?As a senior technical leader, you will:Oversee and advance the architecture of Intercom’s web stack.Define the long-term technical strategy for the web team, prioritizing scalability, performance, developer productivity, observability, and system reliability.Work closely with marketing, design, analytics, and data science teams to ensure the platform accurately supports their objectives with efficiency and agility.Lead and steer the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more.Collaborate with engineers across web, infrastructure, and data to develop a high-quality, unified technical ecosystem.Mentor and elevate engineers across the team and organization — providing insights on architecture, data modeling, and best practices.
Join Starling Bank, the UK's pioneering digital bank, dedicated to revolutionizing the banking experience! Our goal is to leverage cutting-edge technology, provide fair service, and uphold honest values, all accessible through your mobile device.As a fully licensed UK bank, we embody the innovative spirit of a tech company, offering a fairer, user-friendly approach to banking that simplifies money management for everyone.With over 3,000 employees across our locations in London, Southampton, Cardiff, and Manchester, our talented technologists are at the core of our mission, thriving in a fast-paced environment focused on creativity, innovation, and the latest advancements in fintech. We promote a flat organizational structure, empowering you to make impactful decisions while collaborating with your team for optimal results.At Starling, we value self-drive and ownership, encouraging you to engage in building, designing, discovering, and sharing knowledge to ensure efficiency and productivity in delivering exceptional customer outcomes. Our guiding principles are embodied in our five core values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.Hybrid WorkingStarling embraces a Hybrid work model, ideally requiring you to be within a commutable distance to one of our offices for in-person collaboration. In the Technology department, we ask for a minimum of one day per week in the office.Our Data EnvironmentThe Data teams at Starling focus on various Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. We are passionate about providing valuable insights to both our business and our customers. Explore more about our team in our latest blogs or through our case studies with Women in Tech.We invite talented data professionals at all levels to join our dynamic team. We appreciate individuals who are engaged, customer-focused, and take pride in their contributions.
Join our dynamic team as a Senior Engineer specializing in Infrastructure Platforms. You will play a crucial role in shaping our infrastructure, enhancing our scalability and performance. Collaborate with cross-functional teams to design and implement robust systems that support our growing user base.As a Senior Engineer, you will be expected to leverage your extensive experience in software engineering, systems architecture, and cloud technologies to drive innovation within our infrastructure.
Join Primark as a Data Platform & Engineering Lead and drive the evolution of our data architecture and engineering practices. In this pivotal role, you will lead a dynamic team focused on building robust data platforms that support our expansive retail operations. Your expertise will guide the development of innovative data solutions, ensuring data integrity, scalability, and availability.
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.
Full-time|On-site|Berlin, Germany; Dublin, Ireland; London, England
Intercom builds tools that help businesses deliver better customer service, powered by artificial intelligence. Nearly 30,000 companies worldwide use Intercom’s products, including Fin, an AI customer service agent that works seamlessly with the Intercom Helpdesk as part of the Customer Service Suite. Since 2011, Intercom has focused on innovation and delivering value for clients. Role overview The AI Models Infrastructure Team within Intercom’s AI Group develops and maintains the core infrastructure that supports the company’s proprietary AI models. Intercom is hiring an Engineering Manager to lead this team. This is a technical leadership position working at the intersection of infrastructure and artificial intelligence. What you will do Guide a team of engineers building and operating the infrastructure for Intercom’s AI models Work closely with other teams to ensure the reliability and scalability of AI systems Support ongoing technical growth within the team and stay current with advances in AI Who we’re looking for Experience managing technical teams, ideally in AI or related fields Strong background in infrastructure or platform engineering Commitment to continuous technical development Locations Berlin, Germany Dublin, Ireland London, England Learn more About engineering at Intercom: https://intercom.engineering About Fin: http://fin.ai
As a Point of Contact (POC) Engineer at Arista Networks, you will play a vital role in enhancing our engineering team. You will be responsible for developing and maintaining vital communication channels, ensuring smooth operations and a high level of technical support for our clients. Your expertise will be crucial in solving complex challenges and delivering innovative solutions that meet customer needs.
At Manna, we’re revolutionizing delivery services by taking them to the skies. Our ambitious mission is to make high-speed delivery in suburban areas not only affordable but also environmentally friendly and safe. We design and manufacture our own aviation-grade drones, delivering food, groceries, coffee, and more directly from local vendors to customers’ doors within minutes.Our team embodies principles of Impact, Safety, and Authenticity. We believe that the best ideas come from collaborative team players who are passionate about their work. We move quickly, embrace a growth mindset, and are committed to continuous improvement in everything we do.If you’re eager to create technology that has a meaningful impact on the world—and enjoy a fun work environment while doing it—you’ll fit right in at Manna.Welcome to Manna — where we deliver the future.Role PurposeWe are seeking a Lead Data Engineer to evolve our data infrastructure. This role combines hands-on data engineering with the responsibility of managing our core data platform, utilizing Postgres and Snowflake. You will build scalable data pipelines, manage database performance, and enable analytics and AI applications across the organization. Collaborating with engineering, analytics, and leadership, you will help shape data architecture, enhance data quality, and meet our growing data needs.Key ResponsibilitiesOversee and manage production, development, and reporting Postgres databases.Develop and improve the data platform architecture across Postgres and Snowflake.Design, implement, and maintain scalable data pipelines from raw files and source systems.Optimize data models for analytics and reporting purposes.Ensure Snowflake performance and cost efficiency.Monitor and enhance Postgres performance (including query tuning, indexing, and scaling).Guarantee data platform security, access control, and governance.Establish and uphold data engineering standards, best practices, and documentation.Introduce monitoring, alerting, and observability across data systems.Collaborate with teams to understand and deliver on their data requirements.Support AI and advanced data use cases by managing high-quality datasets.Act as a key technical authority for data platform decisions and direction.
Join MongoDB, a leader in the database market, as we revolutionize the way developers create and manage applications. Our distributed systems support mission-critical services for thousands of customers worldwide.We are seeking a skilled Software Engineer to become part of our Cloud Core Alerts Platform team. You will be instrumental in designing scalable, fault-tolerant, and highly available systems that can process millions of events and alerts in real-time.This role is based in Dublin, where we embrace a hybrid working model.Our domain includes:Alert Streaming Systems: Real-time alerting pipelines using Apache Flink and Amazon Kinesis, delivering critical insights for MongoDB Atlas customers.Event Systems: SOA-based event platforms utilizing gRPC and streaming architectures to efficiently manage the MongoDB activity feed at scale.Communication Systems: Distributed services that ensure reliable delivery of alert notifications across multiple channels (email, SMS, Slack, PagerDuty).Third-Party Integrations: Secure management of customer credentials and seamless integration with external observability providers, ensuring encryption both at rest and in transit.Cross-team Collaboration: Working closely with the broader Customer Observability teams to provide unified telemetry and monitoring experiences.What you'll do:Design and develop distributed systems capable of processing millions of events per second while maintaining high availability and low latency.Lead projects from design to production, ensuring scalability, observability, and operational excellence.Enhance our streaming alerting and eventing platforms to improve reliability, throughput, and the overall developer experience.Collaborate with cross-functional teams to integrate alerting, event, and communication services into the broader customer observability ecosystem.Create secure, multi-tenant integrations with third-party providers, handling sensitive customer credentials with care.Promote best practices in distributed systems design, focusing on resilience, scalability, and fault tolerance.Mentor and guide fellow engineers, sharing expertise in distributed architectures and streaming technologies.
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 Davy, a leader in wealth and capital management.At Davy, our nearly 100-year legacy is built on the unique talents of our dedicated team. As we expand, we invite you to grow with us and play a pivotal role in shaping the future of our organization.Founded in 1926, the Davy Group is a cornerstone of financial services in Ireland, offering a diverse range of solutions to high-net-worth individuals, self-directed investors, SMEs, credit unions, corporations, and both domestic and international institutional investors.Our culture is driven by three core values: client success, unity as one Davy, and the commitment to building a proud legacy. United by a common vision, our team of over 900 professionals collaborates to deliver outstanding results for our clients, encouraging continuous learning and personal growth.About the RoleWe are seeking an exceptional Principal Salesforce Technical Analyst to spearhead the implementation and ongoing management of our Salesforce Financial Cloud platform. This is a remarkable opportunity for a motivated professional to influence our operational model.
PlayStation, part of Sony Interactive Entertainment, develops well-known gaming products and services such as PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, and titles from PlayStation Studios. The company emphasizes diversity and inclusion, aiming to build an environment where everyone can contribute and grow. Role overview The Manager of People Technology Platform Engineering (Workday) leads a team of Platform and Integration Engineers who design, implement, and improve the global Workday platform for Sony Interactive Entertainment. This position blends technical leadership with platform ownership, working closely with the Director of People Technology Services to deliver scalable and reliable solutions across the People Technology ecosystem. The manager helps shape both the development and ongoing maintenance of the Workday platform, ensuring long-term effectiveness. The role operates within an Agile product delivery framework and contributes to building an engineering-focused operational model. Regular collaboration with Product, Data, and Architecture teams keeps platform capabilities aligned with business needs and priorities. Team leadership This role manages a distributed team across multiple regions, emphasizing alignment and consistency. The manager delivers high-quality outcomes in a global, matrixed structure and works to keep teams connected across time zones. Location This position is based in Dublin, Ireland.
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.
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.