Senior Product Engineer - AI Platform

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 H…

Innovative Technology that Transforms TravelAt CarTrawler, we are a leading global travel technology company, facilitating seamless connections among individuals, destinations, and a world of opportunities. Our services range from enhancing car rental solutions to pioneering innovative ways to enhance mobility, making travel experiences smoother for millions across the globe. Our vibrant culture thrives on curiosity, teamwork, and the joy of shared experiences, where every idea is valued, and every journey is significant. Are you ready to leave your mark? Join us on this exciting adventure!The role of AI Engineer is pivotal in delivering intelligent, safe, and scalable customer experiences. Focusing on Salesforce and customer contact platforms, this position harnesses the power of Generative AI and automation to create tangible enhancements in customer experience, agent efficiency, and cost-effectiveness. Collaborating closely with the Customer Contact, Technology, and Data teams, you will influence the design, deployment, and integration of AI solutions throughout CarTrawler's customer operations.Your Journey Begins Here!

Join Contentful as a Senior Backend Engineer and play a pivotal role in our AI Platform team. You will be responsible for designing, developing, and maintaining scalable backend services that power our innovative solutions. This is an exciting opportunity to work with cutting-edge technologies in a collaborative environment.

Intercom is a leading AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our AI agent, Fin, stands out as the most sophisticated customer service AI available, enabling businesses to offer round-the-clock, flawless customer service and significantly enhance their customer interaction quality. Fin can be integrated with our Helpdesk to form the Intercom Customer Service Suite, delivering AI-powered assistance for more intricate or personalized inquiries needing human intervention.Founded in 2011 and trusted by nearly 30,000 businesses across the globe, Intercom is redefining customer service standards. Guided by our core values, we continually push boundaries, build with urgency and precision, and consistently provide outstanding value to our customers.What’s the opportunity?Intercom’s websites, including intercom.com and fin.ai, serve as vital growth drivers for the company — facilitating storytelling, branding, experimentation, and product discovery. As our Lead Principal Engineer, you will be instrumental in shaping the technical direction and architectural advancement of our web platform and systems.You will serve as the technical lead across our marketing and growth web surfaces. This role involves cross-functional engineering leadership, collaborating with marketing, analytics, design, data science, and engineering teams to ensure our web stack is contemporary, efficient, measurable, and enjoyable to work on.Your role will entail a high degree of autonomy where you will be responsible for establishing the long-term technical strategy for the team and executing it effectively.What will I be doing?As a senior technical leader, you will:Oversee and advance the architecture of Intercom’s web stack.Define the long-term technical strategy for the web team, prioritizing scalability, performance, developer productivity, observability, and system reliability.Work closely with marketing, design, analytics, and data science teams to ensure the platform accurately supports their objectives with efficiency and agility.Lead and steer the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more.Collaborate with engineers across web, infrastructure, and data to develop a high-quality, unified technical ecosystem.Mentor and elevate engineers across the team and organization — providing insights on architecture, data modeling, and best practices.

Join Starling Bank, the UK's pioneering digital bank, dedicated to revolutionizing the banking experience! Our goal is to leverage cutting-edge technology, provide fair service, and uphold honest values, all accessible through your mobile device.As a fully licensed UK bank, we embody the innovative spirit of a tech company, offering a fairer, user-friendly approach to banking that simplifies money management for everyone.With over 3,000 employees across our locations in London, Southampton, Cardiff, and Manchester, our talented technologists are at the core of our mission, thriving in a fast-paced environment focused on creativity, innovation, and the latest advancements in fintech. We promote a flat organizational structure, empowering you to make impactful decisions while collaborating with your team for optimal results.At Starling, we value self-drive and ownership, encouraging you to engage in building, designing, discovering, and sharing knowledge to ensure efficiency and productivity in delivering exceptional customer outcomes. Our guiding principles are embodied in our five core values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.Hybrid WorkingStarling embraces a Hybrid work model, ideally requiring you to be within a commutable distance to one of our offices for in-person collaboration. In the Technology department, we ask for a minimum of one day per week in the office.Our Data EnvironmentThe Data teams at Starling focus on various Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. We are passionate about providing valuable insights to both our business and our customers. Explore more about our team in our latest blogs or through our case studies with Women in Tech.We invite talented data professionals at all levels to join our dynamic team. We appreciate individuals who are engaged, customer-focused, and take pride in their contributions.

Role overview Jobgether is looking for a Staff Engineer to focus on its Data Platform. This senior engineering role involves shaping and advancing the data infrastructure that underpins Jobgether’s products and services. What you will do Design and build data systems that can handle increasing business demands. Improve the reliability and performance of core data infrastructure. Collaborate with engineering, product, and other teams to move data initiatives forward. Enhance the platform’s capabilities to support both new and ongoing projects. Location This position is based in Ireland.

Jobgether is looking for a Multicloud Platform Engineer based in Ireland. This position centers on designing, building, and managing cloud solutions that span several platforms. Role overview Work closely with colleagues from different teams to integrate services across cloud environments. The focus is on creating systems that perform reliably and scale smoothly as needs grow. What you will do Design and implement solutions that use multiple cloud platforms Manage and maintain cloud infrastructure Collaborate with cross-functional teams to integrate services Optimize performance and scalability while following established best practices

Join our dynamic team as a Senior Engineer specializing in Infrastructure Platforms. You will play a crucial role in shaping our infrastructure, enhancing our scalability and performance. Collaborate with cross-functional teams to design and implement robust systems that support our growing user base.As a Senior Engineer, you will be expected to leverage your extensive experience in software engineering, systems architecture, and cloud technologies to drive innovation within our infrastructure.

Join Primark as a Data Platform & Engineering Lead and drive the evolution of our data architecture and engineering practices. In this pivotal role, you will lead a dynamic team focused on building robust data platforms that support our expansive retail operations. Your expertise will guide the development of innovative data solutions, ensuring data integrity, scalability, and availability.

Lead Backend and Platform Engineer Role Overview: This is a full-time opportunity. Salary: €92,000 - €110,000 Location: Remote — IrelandAbout the RoleWe are seeking a Platform Engineering Lead to spearhead the technical implementation and scalability of our cloud infrastructure. In this vital role, you will serve as the technical authority for our backend team, ensuring that our Digital Pathway Platform is designed for optimal scalability across international healthcare systems.This leadership position is crucial for driving technical excellence and will have a significant impact on improving the lives of millions of patients by enabling a cutting-edge asynchronous and remote healthcare delivery model.Key ResponsibilitiesPlatform Ownership: Lead the architecture, security, and stability of our GCP platform, preparing it for sustained growth of 100% YoY.Team Leadership: Inspire and manage a high-performance backend engineering team (3-5 members), cultivating a culture that prioritizes both speed and quality.Efficiency Optimization: Act as the primary driver for technical cost management and resource allocation to ensure efficient scaling as our user base expands.Integration Architecture: Design robust systems capable of deep integrations with external partner APIs, effectively managing various authentication mechanisms and resilient data strategies.Technical Strategy: Collaborate closely with the CTO and Director of Engineering (currently being hired) to align technical execution with overarching business goals.Operational Excellence: Implement best practices in engineering, including Infrastructure as Code (IaC) using Terraform, CI/CD processes, and security readiness to mitigate major production incidents.AI Workflow Leadership: Champion innovative agentic workflows within the team.Why This Opportunity Stands OutWe are on the frontier of developing a new healthcare operating model that emphasizes remote, asynchronous, and increasingly personalized care. You will be instrumental in building the infrastructure that facilitates this transformation. This role offers a unique chance to exercise genuine technical ownership over a mission-critical platform.About UsIsla Health is a venture-backed health tech startup, committed to supporting our partners across the UK, EU, and internationally. We are focused on revolutionizing healthcare delivery through innovation and technology.

Join Grafana Labs, a trailblazer in the open-source community, recognized for its innovative visualization tool that serves over 20 million users globally. From monitoring environmental changes to tracking beehives, our dynamic dashboards have been utilized in high-profile events ranging from NASA launches to the Tour de France. Our solutions empower over 3,000 businesses—including industry giants like Bloomberg, JPMorgan Chase, and eBay—to enhance their observability strategies using the Grafana LGTM Stack, available in both fully managed via Grafana Cloud or self-managed through Grafana Enterprise Stack. As we continue to grow, we remain committed to our unique culture that values openness, collaboration, and impactful work.Our team thrives on innovation, transparency, and autonomy in a fast-paced, remote-first environment. If you are excited about this opportunity, we encourage you to apply, even if you don’t meet every single requirement.This is a fully remote position. We are considering candidates located in Germany, Sweden, Spain, Ireland, and the UK only.Senior Engineering Manager - Platform MetalThe Opportunity:About our Platform:Grafana Cloud processes millions of metrics, log lines, and traces per second from various customer environments, aiming to expand to hundreds of millions while enhancing performance, reliability, and efficiency. The Internal Engineering Platform (IEP) provides our application engineers with essential tools, systems, and Kubernetes clusters to effectively build, deploy, and manage their workloads.We are seeking a Senior Engineering Manager to lead the development of a new Platform “Metal” squad, responsible for building and provisioning resources, including storage, networking, and Kubernetes clusters in new environments, beginning with our own physical hardware.

At Manna, we’re revolutionizing delivery services by taking them to the skies. Our ambitious mission is to make high-speed delivery in suburban areas not only affordable but also environmentally friendly and safe. We design and manufacture our own aviation-grade drones, delivering food, groceries, coffee, and more directly from local vendors to customers’ doors within minutes.Our team embodies principles of Impact, Safety, and Authenticity. We believe that the best ideas come from collaborative team players who are passionate about their work. We move quickly, embrace a growth mindset, and are committed to continuous improvement in everything we do.If you’re eager to create technology that has a meaningful impact on the world—and enjoy a fun work environment while doing it—you’ll fit right in at Manna.Welcome to Manna — where we deliver the future.Role PurposeWe are seeking a Lead Data Engineer to evolve our data infrastructure. This role combines hands-on data engineering with the responsibility of managing our core data platform, utilizing Postgres and Snowflake. You will build scalable data pipelines, manage database performance, and enable analytics and AI applications across the organization. Collaborating with engineering, analytics, and leadership, you will help shape data architecture, enhance data quality, and meet our growing data needs.Key ResponsibilitiesOversee and manage production, development, and reporting Postgres databases.Develop and improve the data platform architecture across Postgres and Snowflake.Design, implement, and maintain scalable data pipelines from raw files and source systems.Optimize data models for analytics and reporting purposes.Ensure Snowflake performance and cost efficiency.Monitor and enhance Postgres performance (including query tuning, indexing, and scaling).Guarantee data platform security, access control, and governance.Establish and uphold data engineering standards, best practices, and documentation.Introduce monitoring, alerting, and observability across data systems.Collaborate with teams to understand and deliver on their data requirements.Support AI and advanced data use cases by managing high-quality datasets.Act as a key technical authority for data platform decisions and direction.

Join MongoDB, a leader in the database market, as we revolutionize the way developers create and manage applications. Our distributed systems support mission-critical services for thousands of customers worldwide.We are seeking a skilled Software Engineer to become part of our Cloud Core Alerts Platform team. You will be instrumental in designing scalable, fault-tolerant, and highly available systems that can process millions of events and alerts in real-time.This role is based in Dublin, where we embrace a hybrid working model.Our domain includes:Alert Streaming Systems: Real-time alerting pipelines using Apache Flink and Amazon Kinesis, delivering critical insights for MongoDB Atlas customers.Event Systems: SOA-based event platforms utilizing gRPC and streaming architectures to efficiently manage the MongoDB activity feed at scale.Communication Systems: Distributed services that ensure reliable delivery of alert notifications across multiple channels (email, SMS, Slack, PagerDuty).Third-Party Integrations: Secure management of customer credentials and seamless integration with external observability providers, ensuring encryption both at rest and in transit.Cross-team Collaboration: Working closely with the broader Customer Observability teams to provide unified telemetry and monitoring experiences.What you'll do:Design and develop distributed systems capable of processing millions of events per second while maintaining high availability and low latency.Lead projects from design to production, ensuring scalability, observability, and operational excellence.Enhance our streaming alerting and eventing platforms to improve reliability, throughput, and the overall developer experience.Collaborate with cross-functional teams to integrate alerting, event, and communication services into the broader customer observability ecosystem.Create secure, multi-tenant integrations with third-party providers, handling sensitive customer credentials with care.Promote best practices in distributed systems design, focusing on resilience, scalability, and fault tolerance.Mentor and guide fellow engineers, sharing expertise in distributed architectures and streaming technologies.

Role Overview Version1 is hiring an AI Engineer in Dublin to support projects across the public sector and utilities. This position suits mid-senior professionals with a strong interest in artificial intelligence and its use to improve public services.

PlayStation, part of Sony Interactive Entertainment, develops well-known gaming products and services such as PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, and titles from PlayStation Studios. The company emphasizes diversity and inclusion, aiming to build an environment where everyone can contribute and grow. Role overview The Manager of People Technology Platform Engineering (Workday) leads a team of Platform and Integration Engineers who design, implement, and improve the global Workday platform for Sony Interactive Entertainment. This position blends technical leadership with platform ownership, working closely with the Director of People Technology Services to deliver scalable and reliable solutions across the People Technology ecosystem. The manager helps shape both the development and ongoing maintenance of the Workday platform, ensuring long-term effectiveness. The role operates within an Agile product delivery framework and contributes to building an engineering-focused operational model. Regular collaboration with Product, Data, and Architecture teams keeps platform capabilities aligned with business needs and priorities. Team leadership This role manages a distributed team across multiple regions, emphasizing alignment and consistency. The manager delivers high-quality outcomes in a global, matrixed structure and works to keep teams connected across time zones. Location This position is based in Dublin, Ireland.

POS-22139This role can be Office/Hybrid/Remote based within IrelandHubSpot is leading the charge in empowering businesses through innovative AI technology, and our AI Infrastructure group is pivotal to this mission. We are on the lookout for a Staff Software Engineer who possesses a strong passion for infrastructure and enhancing developer experiences to become a vital member of our AI Serving team. This team is responsible for the end-to-end management of HubSpot’s model inference and serving infrastructure, ensuring that our AI models are deployed reliably, scaled efficiently, observed meticulously, and operated in a cost-effective manner across all hublets and environments. Moreover, this team is the home for modern Python practices at HubSpot.Our team oversees the serving frameworks and libraries that facilitate synchronous, asynchronous, and offline inference, as well as model deployment pipelines, autoscaling, and resource management for both GPU and CPU. Our roadmap is focused on enhancing the reliability and efficiency of batch inference, improving model observability, and scaling our AI infrastructure in a cost-effective manner. Additionally, we are the custodians of core Python libraries and tools across HubSpot.As a Staff Software Engineer on the AI Serving team, you will:Develop and deploy production code that directly powers AI functionalities across HubSpot, serving as a critical component for impactful user and business outcomes at scale.Lead the advancement of our model serving and inference infrastructure, enhancing reliability, scalability, and cost-efficiency.Establish the technical direction for deploying and operating ML models at scale, guiding architectural decisions, cost optimizations, and developer experience enhancements.Collaborate closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving processes.Gain extensive insight into various HubSpot infrastructure systems by building and maintaining core Python libraries, offering an exceptional opportunity to understand HubSpot's inner workings.Work alongside HubSpotters across different functions including engineering, product, design, research, marketing, and sales, while gaining a broader understanding of how HubSpot operates as a business.Be empowered to express your authentic self and choose a work style and location that allows you to perform at your best, whether from home, in an office, or a combination of both.We are not solely seeking engineers with extensive experience; we value engineers who have demonstrated unique excellence, leadership, and the ability to elevate those around them.Our primary programming languages include Python and Java, but a variety of experiences are welcomed.

The OpportunityWe are seeking a pioneering Founding AI Engineer to develop systems that ensure AI operates in a safe, reliable, and repeatable manner at Grand. This pivotal role focuses on transforming intelligence into production-ready capabilities, combining an AI-first approach with engineering instincts for control, failure handling, and system integrity.This role is distinct from product feature development or research; you will not be responsible for user experience or model theory. Instead, your ownership will encompass AI operations within the system, including orchestration, guardrails, observability, auditability, and lifecycle management.As a close collaborator with the founders, product, data science, and regulatory teams, you will influence how AI decisions are triggered, constrained, inspected, and executed in a regulated environment. This position offers a chance to contribute significantly to the company's foundational structure.Your ResponsibilitiesDesign and implement the runtime and orchestration layer for AI systems across our platform.Transform probabilistic AI outputs into controlled, repeatable behaviors within the system.Define the processes for triggering, gating, validating, and executing AI decisions.Integrate guardrails, fallbacks, and confidence thresholds into AI workflows.Design human-in-the-loop and escalation pathways as necessary.Manage prompt lifecycle, including evaluation and versioning.Oversee context assembly, scoping, and data boundaries for AI tasks.Establish systems for logging, tracing, replaying, and auditing AI processes.Control latency, cost, reliability, and performance in production environments.Collaborate closely with AI data scientists to transition models and signals into production.Work together with product engineers to ensure safe AI integration within workflows.Ensure that AI systems are defensible, inspectable, and ready for regulatory scrutiny.

Role overview Jobgether is hiring an AI Automation Specialist/Engineer based in Ireland. This fully remote role centers on building automation systems that enhance lead generation, data processing, and client acquisition workflows for legal support services. What you will do Design and implement AI-powered solutions to extract, organize, and improve data from various sources. Integrate automated processes into CRM and outreach platforms to make client engagement more efficient. Work closely with leadership to identify and prioritize automation projects that deliver the most value. Develop scalable, production-ready systems that support every stage of the lead lifecycle, from data ingestion to client acquisition. Requirements Solid technical background in automation engineering, data management, and system integration. Experience designing and deploying AI-driven workflow automation solutions. Ability to work independently and communicate clearly with cross-functional teams. Interest in addressing complex data and workflow challenges using modern AI tools. Location This is a fully remote position open to candidates based in Ireland.

Intercom builds AI-powered customer service tools that help businesses deliver reliable, round-the-clock support. Our AI agent, Fin, and the Intercom Customer Service Suite combine automation with human expertise to handle millions of customer inquiries every month. Since 2011, nearly 30,000 businesses worldwide have chosen Intercom to raise their customer service standards. Role overview The Senior AI Infrastructure Engineer role focuses on developing and scaling the systems that train and deploy Intercom’s next generation of AI products. The AI Infrastructure team works across the stack, from GPU-level engineering up to the user-facing agents that power customer support. This team has built training pipelines and inference systems for models like Fin Apex, which are tailored for customer service and serve as the foundation for Intercom’s AI capabilities. What you will do Design and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Build and improve inference services to ensure fast, reliable experiences for clients, covering auto-scaling, routing, and failover. Optimize GPU-level performance by tuning kernels, improving resource utilization, and identifying bottlenecks in training and inference workflows. Work closely with ML scientists to implement new training and inference techniques. What we’re looking for Strong experience with model training or large-scale model inference, and hands-on knowledge of low-level GPU programming (such as CUDA or Triton). Experience in more than one of these areas is especially valuable. Location This position is based in Dublin, Ireland.

Catalyx is actively looking for a skilled AI Compliance & Validation Engineer to become a vital part of our team at a customer site located in Kerry.About Us:Catalyx is a pioneering machine vision and automation firm dedicated to merging cutting-edge technology with human expertise, assisting global manufacturers and logistics providers in reaching unparalleled levels of quality and throughput. With over three decades of experience, our team has been instrumental in optimizing operational processes across highly regulated sectors by developing innovative technology solutions and supplying industry experts. Our expanding presence includes 9 global offices, a workforce of over 550 professionals, and the successful execution of 3,000 projects to date. We pride ourselves on our ability to tackle unique challenges at scale and continuously push the boundaries of what is possible. To learn more, please visit www.catalyx.ai.Position Overview:As a trusted partner in delivering exceptional lifecycle services to regulated and high-stakes markets, Catalyx is committed to fostering innovation and excellence. We collaborate with life sciences and other highly regulated organizations to enhance operational efficiency and drive meaningful success. We are looking for an experienced engineer to facilitate the implementation, validation, and governance of AI-enhanced computer vision inspection systems utilized in pharmaceutical manufacturing.This role primarily centers around ensuring that AI inspection technologies comply with Good Manufacturing Practice (GMP) requirements, adhere to the expectations of the EU AI Act, and meet established validation standards, rather than developing AI models from scratch.The selected candidate will work in close collaboration with Engineering, Automation, Quality Assurance, and Validation teams to ensure that AI-driven inspection technologies are deployed in a compliant, robust, and operationally efficient manner.Key Responsibilities:Assist in the deployment of AI-enabled computer vision inspection systems within pharmaceutical manufacturing and packaging settings.Evaluate supplier AI systems, examining their capabilities against regulatory standards, including model architecture, training data methodology, performance characteristics, and change management protocols.Perform EU AI Act classification analysis and contribute to the formulation of governance frameworks for AI-enabled systems.Establish risk-based control strategies for AI systems, including monitoring frameworks, human oversight requirements, and lifecycle governance.