Senior AI Infrastructure Engineer

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 s…

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.

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 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!

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

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.

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.

Join Egis Group as a Senior Civil Engineer, where you will play a pivotal role in designing and managing innovative infrastructure projects. Your expertise will guide the development of sustainable solutions that impact communities positively. You will collaborate with multidisciplinary teams to deliver high-quality engineering results while adhering to industry standards.

Join our dynamic team at Turner Townsend as a Senior Infrastructure Administrator, where you will play a pivotal role in managing and optimizing our IT infrastructure. You will be responsible for ensuring the reliability, performance, and security of our systems while collaborating with cross-functional teams to drive innovation and efficiency.

Join Contentful as a Senior Software Engineer specializing in Backend & Infrastructure, where you will play a pivotal role in architecting robust, scalable systems that empower our clients to deliver exceptional digital experiences. You will leverage your expertise to optimize backend systems and enhance our infrastructure, ensuring seamless integration and performance.

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!

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

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.

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.

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

At Crusoe, we are on a mission to enhance the availability of energy and intelligence, creating the engine for an ambitious AI-driven world where creativity thrives without compromising on scale, speed, or sustainability.Join Crusoe and become part of the AI revolution with sustainable technology. You will be at the forefront of innovation, driving impactful solutions and collaborating with a team dedicated to shaping responsible and transformative cloud infrastructure.Role Overview:Crusoe Cloud is looking for a Senior Solutions Engineer to partner with our key enterprise clients as they deploy AI/ML workloads on our state-of-the-art GPU infrastructure. This role is highly interactive and customer-focused, requiring extensive technical knowledge in Kubernetes, MLOps, and cloud architecture.You will manage the entire deployment process—from conducting Proofs of Concept (PoCs) to optimizing workloads after the sale, acting as a vital technical liaison between our customers and engineering teams. Ideal candidates will have a passion for AI infrastructure, proficiency in containerized systems, and the ability to translate workloads seamlessly across different cloud environments.Your Responsibilities:Customer Enablement: Lead the technical onboarding and deployment of intricate AI/ML workloads, managing the PoC process through to post-sales optimization.Kubernetes & MLOps Implementation: Design and deploy ML workloads utilizing Kubernetes-based frameworks (e.g., Ray, Kubeflow) to create infrastructure that optimally balances performance, scalability, and efficiency.Infrastructure-Centric Approach: Move beyond abstract services—deploy and refine AI/ML workloads directly on Crusoe's infrastructure, ensuring optimum performance at both the container and hardware levels.Cross-Cloud Migration: Assist customers in transitioning and adapting workloads across AWS, Azure, and GCP, articulating the trade-offs between cloud-native and Crusoe-native strategies.Technical Communication: Conduct workshops, live demonstrations, and solution reviews, while contributing to case studies, solution briefs, and blog content that showcase real-world customer successes.Customer Advocacy: Provide valuable feedback to internal engineering and product teams, helping to enhance Crusoe’s platform based on hands-on implementation experiences.Qualifications:Proven expertise in Kubernetes and MLOps, with hands-on experience in deploying and managing cloud-based infrastructure.Strong understanding of AI/ML workloads and the ability to optimize them for performance and efficiency.Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.Experience with cross-cloud architectures and migrations between AWS, Azure, and GCP.A passion for innovative technology and a desire to drive meaningful change in the AI landscape.

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.

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.