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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.
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 custo…
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
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.
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.
About Us: At Articul8 AI, we are on a mission to redefine the standards of excellence in AI product development. Our dedicated team is committed to crafting outstanding solutions that not only meet but exceed the expectations of our clients. We leverage our unique capabilities to create a positive impact in the world, inspiring others to join us in this journey.Job Description: We are excited to welcome a talented Infrastructure Engineer to our innovative Product Technology team. This individual will play a vital role in shaping the infrastructure for our Generative Artificial Intelligence (GenAI) products. You will be responsible for designing and building scalable, robust, and cost-effective cloud-based solutions. Collaborating with cross-functional teams, you will drive innovation, optimize performance, and ensure seamless integration across our GenAI-driven offerings.
Role overview The Development Infrastructure Engineer position at AECOM in Dublin centers on supporting a variety of infrastructure projects. The focus is on delivering solutions that are both efficient and sustainable. Collaboration with colleagues from multiple disciplines is a key part of the role, ensuring that infrastructure systems meet current industry standards. What you will do Work alongside cross-functional teams to design, implement, and maintain infrastructure systems. Support ongoing efforts to enhance efficiency and sustainability in development practices. Contribute to projects where high standards in infrastructure delivery are expected.
Role Overview Toast, Inc. is hiring a Principal Infrastructure Engineer in Dublin, Ireland. This role focuses on designing and implementing infrastructure solutions that support scale, security, and reliability across the company’s systems. What You Will Do Design infrastructure to meet business and technical needs Implement solutions that support scalability and reliability Work closely with teams from different disciplines to deliver secure systems
Join Articul8 AI, where we develop cutting-edge Generative AI solutions designed for enterprises, empowering global organizations to extract unprecedented value from their data. Our innovative platform is trusted by leading companies worldwide, and we closely collaborate with clients to design, deploy, and scale AI solutions that create significant impact.Embrace the dynamic environment of a fast-paced startup where urgency and focus drive our mission. Each team member enjoys substantial ownership, and your contributions will directly influence our platform and the success of our clients. If you excel in a setting where innovation is a daily occurrence and the results of your work are clear, then Articul8 is your destination to achieve the pinnacle of your career.Role OverviewAs the AI/ML Engineering Manager, you will utilize your extensive technical expertise in machine learning and your leadership abilities to steer a high-performing team, define the technical roadmap, and deliver impactful solutions across our product suite. This role seamlessly integrates technical leadership, applied research translation, and cross-functional collaboration to provide scalable solutions for our customers. You will be responsible for shaping the AI strategy, promoting a culture of excellence, and ensuring data-driven execution in a fast-paced setting.Your role involves direct engagement with customers to comprehend their requirements and working closely with various teams at Articul8 to translate these needs into actionable tasks for your team. You will manage the lifecycle of features from ideation to deployment in production-grade code.Ideal candidates will have proven experience leading teams of both junior and senior engineers on multiple concurrent projects in a high-velocity environment. Proficiency in AI/ML, MLOps, cloud platforms, and coding best practices is essential.
Speechify builds text-to-speech tools that help over 50 million people convert written content, PDFs, books, Google Docs, news, and websites, into audio. Our products span iOS, Android, Mac, Chrome, and web. Recent recognition includes Chrome Extension of the Year from Google and Apple’s 2025 Design Award for Inclusivity. The company operates fully remote, with nearly 200 team members worldwide. The team includes frontend and backend engineers, AI researchers, and alumni from Stanford, Amazon, Microsoft, Google, Stripe, Vercel, and Bolt. Role overview This Software Engineer position sits within the AI team and focuses on data infrastructure and acquisition. The work centers on optimizing data collection and building large-scale, high-quality datasets to support model training. The team combines infrastructure, engineering, and research to deliver petabyte-scale data pipelines. What you will do Identify and integrate new audio data sources into the ingestion pipeline Manage and extend cloud infrastructure on Google Cloud Platform (GCP) using Terraform Collaborate with scientists to improve data quality, throughput, and cost-effectiveness for next-generation models Work with the AI team and company leadership to shape the strategic roadmap for datasets powering Speechify’s consumer and enterprise products Location This role is based in Dublin, Ireland. The team works fully remotely.
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!
Role overview The Infrastructure Project Engineer at AECOM will manage and deliver a range of infrastructure projects in Dublin. This position covers the entire project process, from early planning stages through to final completion. Key responsibilities Lead infrastructure projects through all phases, from concept to delivery. Coordinate with colleagues in various disciplines to align project activities. Track project progress, ensuring timelines and budgets are met. Uphold safety and quality standards throughout each stage of the project. Location This position is based in Dublin.
Join AECOM as an Infrastructure Strategy Project Manager in Dublin, where you will lead critical infrastructure projects that drive innovation and efficiency. You will collaborate with multidisciplinary teams to develop strategic solutions that enhance infrastructure performance and sustainability.
AECOM is seeking a Senior Engineer to join the Development Infrastructure team in Dublin. This position plays a key role in delivering infrastructure projects that support community growth and urban development. Role overview This role involves leading a team of engineers and working closely with stakeholders to ensure successful project outcomes. The Senior Engineer will take responsibility for guiding projects from planning through completion, focusing on both technical quality and effective collaboration. What you will do Lead and mentor a team of engineers working on development infrastructure projects Coordinate with stakeholders at every stage of the project lifecycle Oversee project execution to ensure technical requirements and quality standards are met Apply technical expertise to address project challenges and deliver effective solutions
Are you an experienced project manager with a passion for infrastructure strategy? At Turner Townsend, we are seeking a dedicated Infrastructure Strategy Project Manager to join our dynamic team in Dublin. In this pivotal role, you will lead and oversee critical infrastructure projects, ensuring successful delivery and alignment with our strategic objectives.Your expertise will guide our teams in implementing innovative solutions, optimizing processes, and enhancing project outcomes. If you thrive in a collaborative environment and are eager to make a significant impact in the infrastructure sector, we want to hear from you!
Seapoint is developing a financial hub designed for European startups and scale-ups. The platform brings together payroll, expenses, invoicing, and reporting within a single business account, using AI to simplify financial operations for founders. Founded by Sean Mullaney, former European CIO at Stripe, Seapoint’s team includes alumni from Stripe, Wise, Wayflyer, Nubank, and Tide. The company has raised $10 million from Frontline Ventures and is currently in private beta, collaborating with VC-backed startups to improve financial insight and automation. Many European startups face the challenge of managing multiple financial tools, often losing out on interest and spending excessive time on manual tasks. Seapoint’s platform aims to automate these processes, allowing founders to focus on growing their businesses. Role overview The Senior Infrastructure Engineer leads the design, development, and scaling of the systems behind Seapoint’s financial platform. This role focuses on building and maintaining infrastructure that supports a multi-tenant financial product. Key areas include CI/CD, observability, database reliability, and cloud architecture. Decisions in this position directly influence how Seapoint deploys, monitors, and scales its platform for real-world financial operations. What you will do Cloud infrastructure: Design and manage AWS environments, covering compute, networking, security, and cost optimization. The stack uses TypeScript/Bun and PostgreSQL. Maintain secure, reliable, and cost-effective infrastructure as Seapoint grows. Developer experience: Build tools and CI/CD pipelines to help a small engineering team ship confidently. Emphasize fast builds, reliable previews, and zero-downtime deployments. Observability and reliability: Maintain monitoring, alerting, and incident response systems. Create dashboards, traces, and alerts to identify issues like payment failures or integration problems before they affect customers. Database and data infrastructure: Optimize PostgreSQL for multi-tenant financial workloads. Focus on connection pooling, query performance, backup strategies, and safe migrations to ensure data integrity. Security and compliance: Build infrastructure to support financial compliance, including secrets management, access controls, audit logging, and network security. Ensure the platform meets high security standards for financial services. Requirements 7+ years of professional experience in infrastructure, DevOps, or platform engineering Location: Dublin, County Dublin, Ireland
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.
zerorisk is hiring an API Test Infrastructure Engineer in Dublin. This role combines elements of software engineering, quality assurance, and DevOps. The main responsibility: develop and support the infrastructure that enables teams to test APIs efficiently and at scale. Role overview The position centers on building platforms, tools, and workflows that help engineers create and execute reliable API tests. It also covers managing integrations with external tools and maintaining their reliability through automated API-level validation. What you will do Test infrastructure and platform Design and build automated API testing infrastructure for local, CI, and production-mirror environments. Maintain a shared library of reusable testing utilities, fixtures, helpers, and patterns for engineering teams. Lead efforts to containerize test environments using Docker and related tools to ensure consistent, reliable test runs. Integrate test infrastructure with CI/CD pipelines, including test reporting, alerting, and failure analysis workflows. Evaluate and introduce new tools, frameworks, or methodologies to improve the reliability, speed, and coverage of testing. External tool integrations and continuous validation Develop and maintain automated integration tests for third-party and external API-based tools used by zerorisk. Create monitoring and alerting systems to detect regressions or unexpected changes in external API behavior. Collaborate with internal teams to understand integration needs and translate them into automated, continuous testing scenarios.
AECOM seeks a Principal Engineer focused on Development Infrastructure based in Dublin. This role leads teams through all stages of urban infrastructure projects, ensuring each phase moves smoothly from initial planning to final delivery. Role overview The Principal Engineer takes responsibility for guiding teams and managing projects that support urban development. Collaboration with professionals across various disciplines is central to delivering effective solutions. What you will do Lead infrastructure development projects from early planning to completion Ensure all project work aligns with industry standards and meets regulatory requirements Coordinate with experts from different backgrounds to achieve project goals
Join our dynamic team as an Infrastructure Project Manager at Turner Townsend in Dublin. We are seeking a talented professional who excels at managing large-scale infrastructure projects, ensuring timely delivery and adherence to quality standards.The ideal candidate will possess strong leadership skills, a keen eye for detail, and a passion for driving project success. This is a fantastic opportunity to work in a collaborative environment where your contributions will directly impact our clients and the communities we serve.
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.
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 custo…
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
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.
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.
About Us: At Articul8 AI, we are on a mission to redefine the standards of excellence in AI product development. Our dedicated team is committed to crafting outstanding solutions that not only meet but exceed the expectations of our clients. We leverage our unique capabilities to create a positive impact in the world, inspiring others to join us in this journey.Job Description: We are excited to welcome a talented Infrastructure Engineer to our innovative Product Technology team. This individual will play a vital role in shaping the infrastructure for our Generative Artificial Intelligence (GenAI) products. You will be responsible for designing and building scalable, robust, and cost-effective cloud-based solutions. Collaborating with cross-functional teams, you will drive innovation, optimize performance, and ensure seamless integration across our GenAI-driven offerings.
Role overview The Development Infrastructure Engineer position at AECOM in Dublin centers on supporting a variety of infrastructure projects. The focus is on delivering solutions that are both efficient and sustainable. Collaboration with colleagues from multiple disciplines is a key part of the role, ensuring that infrastructure systems meet current industry standards. What you will do Work alongside cross-functional teams to design, implement, and maintain infrastructure systems. Support ongoing efforts to enhance efficiency and sustainability in development practices. Contribute to projects where high standards in infrastructure delivery are expected.
Role Overview Toast, Inc. is hiring a Principal Infrastructure Engineer in Dublin, Ireland. This role focuses on designing and implementing infrastructure solutions that support scale, security, and reliability across the company’s systems. What You Will Do Design infrastructure to meet business and technical needs Implement solutions that support scalability and reliability Work closely with teams from different disciplines to deliver secure systems
Join Articul8 AI, where we develop cutting-edge Generative AI solutions designed for enterprises, empowering global organizations to extract unprecedented value from their data. Our innovative platform is trusted by leading companies worldwide, and we closely collaborate with clients to design, deploy, and scale AI solutions that create significant impact.Embrace the dynamic environment of a fast-paced startup where urgency and focus drive our mission. Each team member enjoys substantial ownership, and your contributions will directly influence our platform and the success of our clients. If you excel in a setting where innovation is a daily occurrence and the results of your work are clear, then Articul8 is your destination to achieve the pinnacle of your career.Role OverviewAs the AI/ML Engineering Manager, you will utilize your extensive technical expertise in machine learning and your leadership abilities to steer a high-performing team, define the technical roadmap, and deliver impactful solutions across our product suite. This role seamlessly integrates technical leadership, applied research translation, and cross-functional collaboration to provide scalable solutions for our customers. You will be responsible for shaping the AI strategy, promoting a culture of excellence, and ensuring data-driven execution in a fast-paced setting.Your role involves direct engagement with customers to comprehend their requirements and working closely with various teams at Articul8 to translate these needs into actionable tasks for your team. You will manage the lifecycle of features from ideation to deployment in production-grade code.Ideal candidates will have proven experience leading teams of both junior and senior engineers on multiple concurrent projects in a high-velocity environment. Proficiency in AI/ML, MLOps, cloud platforms, and coding best practices is essential.
Speechify builds text-to-speech tools that help over 50 million people convert written content, PDFs, books, Google Docs, news, and websites, into audio. Our products span iOS, Android, Mac, Chrome, and web. Recent recognition includes Chrome Extension of the Year from Google and Apple’s 2025 Design Award for Inclusivity. The company operates fully remote, with nearly 200 team members worldwide. The team includes frontend and backend engineers, AI researchers, and alumni from Stanford, Amazon, Microsoft, Google, Stripe, Vercel, and Bolt. Role overview This Software Engineer position sits within the AI team and focuses on data infrastructure and acquisition. The work centers on optimizing data collection and building large-scale, high-quality datasets to support model training. The team combines infrastructure, engineering, and research to deliver petabyte-scale data pipelines. What you will do Identify and integrate new audio data sources into the ingestion pipeline Manage and extend cloud infrastructure on Google Cloud Platform (GCP) using Terraform Collaborate with scientists to improve data quality, throughput, and cost-effectiveness for next-generation models Work with the AI team and company leadership to shape the strategic roadmap for datasets powering Speechify’s consumer and enterprise products Location This role is based in Dublin, Ireland. The team works fully remotely.
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!
Role overview The Infrastructure Project Engineer at AECOM will manage and deliver a range of infrastructure projects in Dublin. This position covers the entire project process, from early planning stages through to final completion. Key responsibilities Lead infrastructure projects through all phases, from concept to delivery. Coordinate with colleagues in various disciplines to align project activities. Track project progress, ensuring timelines and budgets are met. Uphold safety and quality standards throughout each stage of the project. Location This position is based in Dublin.
Join AECOM as an Infrastructure Strategy Project Manager in Dublin, where you will lead critical infrastructure projects that drive innovation and efficiency. You will collaborate with multidisciplinary teams to develop strategic solutions that enhance infrastructure performance and sustainability.
AECOM is seeking a Senior Engineer to join the Development Infrastructure team in Dublin. This position plays a key role in delivering infrastructure projects that support community growth and urban development. Role overview This role involves leading a team of engineers and working closely with stakeholders to ensure successful project outcomes. The Senior Engineer will take responsibility for guiding projects from planning through completion, focusing on both technical quality and effective collaboration. What you will do Lead and mentor a team of engineers working on development infrastructure projects Coordinate with stakeholders at every stage of the project lifecycle Oversee project execution to ensure technical requirements and quality standards are met Apply technical expertise to address project challenges and deliver effective solutions
Are you an experienced project manager with a passion for infrastructure strategy? At Turner Townsend, we are seeking a dedicated Infrastructure Strategy Project Manager to join our dynamic team in Dublin. In this pivotal role, you will lead and oversee critical infrastructure projects, ensuring successful delivery and alignment with our strategic objectives.Your expertise will guide our teams in implementing innovative solutions, optimizing processes, and enhancing project outcomes. If you thrive in a collaborative environment and are eager to make a significant impact in the infrastructure sector, we want to hear from you!
Seapoint is developing a financial hub designed for European startups and scale-ups. The platform brings together payroll, expenses, invoicing, and reporting within a single business account, using AI to simplify financial operations for founders. Founded by Sean Mullaney, former European CIO at Stripe, Seapoint’s team includes alumni from Stripe, Wise, Wayflyer, Nubank, and Tide. The company has raised $10 million from Frontline Ventures and is currently in private beta, collaborating with VC-backed startups to improve financial insight and automation. Many European startups face the challenge of managing multiple financial tools, often losing out on interest and spending excessive time on manual tasks. Seapoint’s platform aims to automate these processes, allowing founders to focus on growing their businesses. Role overview The Senior Infrastructure Engineer leads the design, development, and scaling of the systems behind Seapoint’s financial platform. This role focuses on building and maintaining infrastructure that supports a multi-tenant financial product. Key areas include CI/CD, observability, database reliability, and cloud architecture. Decisions in this position directly influence how Seapoint deploys, monitors, and scales its platform for real-world financial operations. What you will do Cloud infrastructure: Design and manage AWS environments, covering compute, networking, security, and cost optimization. The stack uses TypeScript/Bun and PostgreSQL. Maintain secure, reliable, and cost-effective infrastructure as Seapoint grows. Developer experience: Build tools and CI/CD pipelines to help a small engineering team ship confidently. Emphasize fast builds, reliable previews, and zero-downtime deployments. Observability and reliability: Maintain monitoring, alerting, and incident response systems. Create dashboards, traces, and alerts to identify issues like payment failures or integration problems before they affect customers. Database and data infrastructure: Optimize PostgreSQL for multi-tenant financial workloads. Focus on connection pooling, query performance, backup strategies, and safe migrations to ensure data integrity. Security and compliance: Build infrastructure to support financial compliance, including secrets management, access controls, audit logging, and network security. Ensure the platform meets high security standards for financial services. Requirements 7+ years of professional experience in infrastructure, DevOps, or platform engineering Location: Dublin, County Dublin, Ireland
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.
zerorisk is hiring an API Test Infrastructure Engineer in Dublin. This role combines elements of software engineering, quality assurance, and DevOps. The main responsibility: develop and support the infrastructure that enables teams to test APIs efficiently and at scale. Role overview The position centers on building platforms, tools, and workflows that help engineers create and execute reliable API tests. It also covers managing integrations with external tools and maintaining their reliability through automated API-level validation. What you will do Test infrastructure and platform Design and build automated API testing infrastructure for local, CI, and production-mirror environments. Maintain a shared library of reusable testing utilities, fixtures, helpers, and patterns for engineering teams. Lead efforts to containerize test environments using Docker and related tools to ensure consistent, reliable test runs. Integrate test infrastructure with CI/CD pipelines, including test reporting, alerting, and failure analysis workflows. Evaluate and introduce new tools, frameworks, or methodologies to improve the reliability, speed, and coverage of testing. External tool integrations and continuous validation Develop and maintain automated integration tests for third-party and external API-based tools used by zerorisk. Create monitoring and alerting systems to detect regressions or unexpected changes in external API behavior. Collaborate with internal teams to understand integration needs and translate them into automated, continuous testing scenarios.
AECOM seeks a Principal Engineer focused on Development Infrastructure based in Dublin. This role leads teams through all stages of urban infrastructure projects, ensuring each phase moves smoothly from initial planning to final delivery. Role overview The Principal Engineer takes responsibility for guiding teams and managing projects that support urban development. Collaboration with professionals across various disciplines is central to delivering effective solutions. What you will do Lead infrastructure development projects from early planning to completion Ensure all project work aligns with industry standards and meets regulatory requirements Coordinate with experts from different backgrounds to achieve project goals
Join our dynamic team as an Infrastructure Project Manager at Turner Townsend in Dublin. We are seeking a talented professional who excels at managing large-scale infrastructure projects, ensuring timely delivery and adherence to quality standards.The ideal candidate will possess strong leadership skills, a keen eye for detail, and a passion for driving project success. This is a fantastic opportunity to work in a collaborative environment where your contributions will directly impact our clients and the communities we serve.
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.
