Engineering Manager for AI Models Infrastructure

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 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.

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.

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.

At Intercom, we are pioneering the future of customer service through artificial intelligence. Our mission is to empower businesses to create exceptional customer experiences.Our flagship AI agent, Fin, represents the forefront of customer service technology. By offering seamless, 24/7 support, Fin enhances customer interactions and redefines service excellence. When paired with our Helpdesk, it evolves into the Intercom Customer Service Suite, which provides AI-enhanced solutions for intricate queries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 businesses globally, Intercom is establishing a new benchmark in customer service. Our commitment to innovation drives us to push boundaries, work with urgency, and consistently deliver outstanding value to our clients.What is the opportunity?We are on the lookout for Staff Product Engineers to join our AI Group, focusing on the development of AI-driven products. As a Product Engineer specializing in machine learning (ML), you will collaborate closely with both our ML Scientists and product teams. A deep understanding of our products, customers, and technological framework is essential.Your role will involve defining new ML features, exploring suitable algorithms and technologies, and rapidly delivering prototypes to our customers.We are a highly product-focused team that collaborates with Product and Design teams across the organization. Our dedicated engineers enable quick transitions to production, often releasing beta versions within weeks following successful offline testing.We are passionate about leveraging machine learning technology, having successfully productized a range of solutions from traditional supervised models to innovative applications of transformer neural networks. Our commitment to testing and measuring the real-world impact of each model we deploy is unwavering.If you are an experienced product engineer with a strong analytical mindset and hands-on experience with ML systems, we invite you to connect with us!

At Intercom, we pride ourselves on revolutionizing customer service through advanced AI technology. Our mission is to empower businesses to deliver exceptional customer experiences.Our leading AI agent, Fin, is recognized as the most sophisticated customer service solution available, enabling businesses to provide consistent, high-quality support. By integrating Fin with our Helpdesk, we offer a comprehensive solution—the Intercom Customer Service Suite—designed to tackle complex inquiries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 companies worldwide, Intercom is redefining customer service standards. Our core values drive us to push boundaries, innovate rapidly, and consistently deliver unparalleled value to our clients.What is the opportunity?We are actively seeking Staff Product Engineers to join our AI Group, focusing on the development of Intercom's AI-driven products. As a Product Engineer in machine learning (ML), you will collaborate closely with both our ML Scientists and product teams, ensuring a deep understanding of our products, customer needs, and the ML technology stack.This group is responsible for defining innovative ML features, researching suitable algorithms and technologies, and swiftly delivering prototypes to our customers.Our team prioritizes product excellence, working in partnership with Product and Design teams. Our dedicated engineers enable us to deploy quickly, often reaching beta stages within weeks after successful offline testing.We are passionate about leveraging machine learning technology, having productized everything from traditional supervised models to groundbreaking unsupervised clustering algorithms and advanced transformer neural networks. We rigorously test and measure the real-world impact of each model we implement.If you are a seasoned product engineer with an analytical mindset and hands-on experience with ML systems, we want to hear from you!

Join Anthropic as a Staff Software Engineer specializing in Inference. In this pivotal role, you will lead projects that enhance our AI systems, contributing to the development of safe and alignable AI technologies. You will collaborate with a dynamic team of engineers and researchers, utilizing cutting-edge tools and methodologies to push the boundaries of AI capabilities.

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.

About SeapointSeapoint is revolutionizing financial management for European startups and scale-ups. We offer an AI-driven business account that consolidates payroll, expenses, invoice payments, and reporting into a single platform, simplifying financial operations.Founded by Sean Mullaney, former European CIO at Stripe, alongside a talented team of alumni from Stripe, Wise, Wayflyer, Nubank, and Tide, we recently secured $3M in pre-seed funding from Frontline Ventures. After nine months of dedicated development, we are now in private beta, collaborating with numerous VC-backed startups who are gaining unprecedented visibility into their financial landscapes.Our mission is clear: to bridge the gap for European startups caught between the limitations of neobanks and the complexities of traditional banking. By automating the tedious aspects of finance through AI, we empower founders to focus on what truly matters—the growth of their businesses.Discover more about our innovative solutions here.About the RoleWe are seeking an experienced AI Software Engineer to take ownership of and enhance the intelligent systems that fuel our financial platform. You will directly influence how founders manage their finances by developing AI features that enrich transaction data, automate invoice matching, and provide insightful reporting and forecasting.Key ResponsibilitiesVendor Enrichment Pipeline: Enhance our existing system that aggregates bank transactions from various sources (open banking, accounting software, email invoices) and enriches them with vendor details. This role includes improving search accuracy, normalization logic, and data integration.Invoice Management Automation: Expand the AI capabilities behind our bill payment product, which scans invoices and matches them to transactions. There is significant potential for enhancements in risk assessment, beneficiary creation, and payment automation.AI Evaluation Infrastructure: Advance our evaluation framework by utilizing a dedicated environment to test AI prompts and agents. Implement industry best practices for accurately measuring AI system performance.Feature Development: Spearhead technical discovery for AI-driven functionalities across reporting, forecasting, and other essential areas. Propose and scope innovative capabilities that enrich the financial experience for business owners, steering us towards agent-based systems.

Join our innovative team as an AI Software Engineer II at Dun & Bradstreet in Dublin, Ireland. In this role, you will be responsible for developing advanced AI solutions that drive business insights and enhance decision-making processes. You will collaborate with cross-functional teams to design, implement, and optimize machine learning models and algorithms. Your expertise will contribute to the creation of scalable AI applications that meet the needs of our clients.

About TelnyxAt Telnyx, we are not just envisioning the future of global connectivity—we are actively creating it. Our dedication to constructing a private, global, multi-cloud IP network empowers seamless interconnection between people, devices, and applications through innovative solutions, including hyperlocal edge technology delivered via intuitive APIs.Our aim is to revolutionize outdated systems, automate manual processes, and address real-world challenges through cutting-edge connectivity solutions. We take pride in our financial stability and profitability, which allows us to invest in pioneering technologies while nurturing an environment for continuous learning and career growth.Join us in our vision of a world where borderless connectivity drives limitless innovation. We are eager to welcome passionate individuals who are excited about contributing to an industry-leading company while enhancing their own skills and careers.The OpportunityOur AI teams are at the forefront of developing reliable, low-latency microservices using advanced, cloud-native technologies. This position is a key part of our larger AI organization, focusing on crafting the platforms, services, and tools that underpin AI-driven products—encompassing areas such as inference, embeddings, APIs, data flows, and observability.In this fast-paced role, you will prioritize reliability, performance, and usability alongside innovation. While some squads concentrate on inference pipelines and LLM tooling, others delve into foundational platforms, troubleshooting, reliability, data systems, or observability—each critical to deploying AI solutions at scale.

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!

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

About SeapointSeapoint is revolutionizing the financial landscape for European startups and scale-ups. Our innovative, AI-driven business account streamlines everything from payroll and expenses to invoice payments and reporting, all centralized in one platform.Founded by Sean Mullaney, the former European CIO at Stripe, alongside a talented team of alumni from renowned companies such as Stripe, Wise, Wayflyer, Nubank, and Tide, we have successfully secured $3M in pre-seed funding led by Frontline Ventures. After nine months of dedicated development, we are now in private beta, collaborating with numerous VC-backed startups that are finally gaining the comprehensive financial insights they've been seeking.We are tackling a genuine challenge: European startups often find themselves caught between the inadequacies of neobanks and the overwhelming complexity of traditional corporate banking. Many are forced to manage 4-6 different financial products manually while earning no interest on their cash deposits. Our solution employs AI automation to alleviate this burden, allowing founders to devote more time to growing their businesses instead of managing spreadsheets.Explore more about our vision here.About the RoleHelp define the technical framework of startup finance.As a Staff Engineer, you will spearhead architectural decisions across our platform, mentor engineering teams, and tackle the toughest technical challenges we encounter. Whether it’s scaling our multi-tenant financial infrastructure or developing integrations with banks and other fintech partners, you will play a crucial role in ensuring reliability at scale.We are seeking leaders from diverse backgrounds who are enthusiastic about creating innovative solutions. You will collaborate with founders and senior engineers experienced in building financial infrastructure at scale, addressing the unique challenges that startups face.While we primarily use a modern stack featuring Typescript, bun, PostgreSQL, and various AWS services, we value curiosity and are always open to exploring new software development methodologies and AI tools.RequirementsKey Qualities: Technical expertise, system design proficiency, and the capability to convert complex problems into elegant solutions that facilitate growth for thousands of startups.If you're eager to create the infrastructure that empowers the next generation of companies, we want to hear from you.

At Ripple, we are pioneering a future where value is transferred as effortlessly as information. Our innovative crypto solutions empower financial institutions, businesses, governments, and developers to enhance the global financial system, promoting economic fairness and opportunity for individuals worldwide. Join a dynamic team where you can elevate your career and expand your skill set alongside supportive colleagues.If you are eager to make a significant impact and unlock remarkable career advancement prospects, we invite you to join us in creating tangible value for the world.In 2025, Ripple acquired GTreasury, marking an important step into the expansive corporate finance sector valued in the trillions.With over 40 years of expertise, GTreasury supports some of the largest and most sophisticated companies globally. By integrating its treasury command center into Ripple’s technology stack, we enable businesses to manage and optimize liquidity in real-time, across both traditional and digital assets.Become a part of our mission to revolutionize corporate treasury and the infrastructure that powers the Internet of Value.We are looking for a forward-thinking Staff Software Engineer who is passionate about developing a world-class platform in collaboration with a talented team. Your role will focus on driving technical excellence in application development, from design through implementation and maintenance.Key Responsibilities:Collaborate with architects and product managers to design, estimate, and implement innovative application features across front-end, server-side, and database tiers.Utilize Azure services to develop powerful, scalable, and resilient cloud-based solutions.Enhance software applications and manage delivery pipelines, feature flags, ensuring smooth integration and deployment.Conduct thorough unit, integration, and non-functional (performance, security) testing to ensure production readiness of our software.Employ observability tools and logging to troubleshoot and resolve issues across development, testing, and production environments.Stay updated on technology trends, explore new technologies, engage with tech communities, mentor fellow engineers, and lead technical design and code evaluations.Continuously seek improvements in team operations, processes, methodologies, and technology choices, aiming for excellence in every practice.

Intercom is a leading AI-driven Customer Service platform dedicated to empowering businesses with exceptional customer engagement capabilities.Our flagship AI agent, Fin, stands out as the most advanced customer service AI in the marketplace, enabling businesses to provide continuous, flawless customer service and significantly enhance their customer experiences. Fin integrates seamlessly with our Helpdesk, forming the comprehensive Intercom Customer Service Suite, tailored for complex inquiries that necessitate human intervention.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses worldwide, setting a new benchmark in customer service. Our core values drive us to innovate relentlessly, operate swiftly, and continuously deliver exceptional value to our clients.What’s the Opportunity?In response to the increasing demand over the past six months, we are seeking skilled software engineers to work closely with our most strategic clients, bridging the gap between their business objectives and our AI agent, Fin.As a Staff Forward Deployed Engineer, you will engage directly with these clients alongside our Go-To-Market team, gaining insights into their use cases and designing, building, and implementing tailored solutions. You will operate autonomously, expected to set strategic direction, own project outcomes, and confidently represent Intercom in high-stakes client interactions. Your role will be crucial in transforming how our customers scale their support operations, yielding significant business results.Moreover, you will lead through example, acting as a force multiplier who influences product direction with field insights and helps shape the concept of Forward Deployed Engineering at Intercom.If you seek a role that offers ownership, creativity, and the opportunity to guide R&D and Go-To-Market teams in a fast-paced environment, this position is for you.What Will I Be Doing?Drive the adoption of Fin by enabling prospects to harness the power of Intercom’s AI capabilities for automated and scalable support operations.Engage deeply with strategic customers to identify their business challenges and technical needs, acting proactively to guide them towards outstanding results with Fin.Collaborate hands-on with customers' technical teams as a confident subject-matter expert, coding alongside them to drive projects to successful completion.Work closely with Sales, Success, and Product teams, actively influencing their work to ensure a seamless customer experience.

This position offers flexible work arrangements: Office, Hybrid, or Remote within Ireland.We are seeking a talented Senior Software Engineer to join our dynamic Engage Product Group within the Flywheel Product Line.The Engage Product Group is dedicated to transforming HubSpot's Go-To-Market (GTM) sales teams by empowering our sales representatives with cutting-edge AI technology, enabling them to meet and exceed their targets. Our team develops, refines, and maintains advanced AI solutions that significantly enhance closed-won rates by utilizing AI to qualify inbound leads, deliver actionable insights and coaching, and create personalized demo instances for every HubSpot prospect through sophisticated multi-agent systems.In this role, you will be instrumental in constructing a reusable, reliable, and intelligent context layer for GTM AI and agents. Our objective is to centralize the storage, search, and retrieval of insights, facilitating rapid experimentation, enhancing insight quality through systematic evaluation and versioning, and equipping flagship agents and guided experiences with consistent, high-quality context.As a Senior Software Engineer, you will be a highly productive, impactful, and trusted contributor who utilizes your expertise to autonomously tackle complex projects and shape technical direction. Your primary focus will be on context for the coming months, with opportunities to collaborate across various teams and product areas as your role evolves.Key Responsibilities:Develop and deploy production code that delivers significant business and GTM outcomes.Design and implement innovative AI features, agents, and insights that enhance GTM efficiency and improve user and prospect experiences.Collaborate within a small, cross-functional team of product engineers, ML engineers, PMs, and designers.Engage with HubSpot colleagues and GTM professionals across the organization.Gain in-depth exposure to HubSpot's GTM processes.We are searching for engineers with a strong business acumen and product mindset, who thrive in addressing real GTM challenges and can navigate ambiguity with autonomy and enthusiasm.While we primarily utilize Java, we value solid programming fundamentals over specific technology experience. To learn more, check out our engineering blog.Desired Qualifications:Proven experience in developing AI products, particularly in GTM contexts, with a history of driving evaluations and innovation based on cutting-edge model advancements.Experience in building...

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 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.