Paymentology is the first truly global issuer-processor, giving banks and fintechs the technology, team and experience to rapidly issue and process Mastercard, Visa and UnionPay cards across more than 60 countries, at scale.Our advanced, multi-cloud platform, offering both shared and dedicated processing instances, vast global presence and richer, real-time data, set us apart as the leader in payments.What you get to do:Tooling Development and AutomationDesign, implement, and optimise internal tools to enhance operational efficiency and automate workflows.Develop and maintain internal tooling solutions, incorporating AI/ML capabilities where applicable.Identify and implement automation opportunities using AI and ML technologies.Integrate SaaS platforms (e.g., HubSpot, Zendesk) with internal company tools via APIs and web technologies.Develop and maintain documentation for tools, integrations, and automation processes.Troubleshoot and resolve technical issues related to integrations, automation, and AI-powered solutions.AI and Machine Learning IntegrationUtilise AI/ML frameworks to enhance automation, improve processes, and increase operational effectiveness.Apply AI/ML technologies to optimise automation processes and workflows.Develop and deploy AI/ML models to enhance support tools and internal systems.Stay up to date with advancements in AI, ML, and automation technologies, ensuring their effective application.Integrate AI/ML models into existing systems and workflows to drive innovation and efficiency.Cross-Functional CollaborationWork closely with internal teams to understand automation requirements and deliver effective solutions.Collaborate with Operations teams to identify inefficiencies and opportunities for automation.Work alongside Product, Engineering, and Support teams to develop AI-enhanced automation tools.Ensure smooth communication between teams for seamless tool integration and process optimisation.Provide technical guidance and support to internal teams using automation tools.Continuous Improvement and InnovationEnhance and refine automation solutions through continuous iteration and technological advancements.Monitor and improve existing tools, ensuring they align with best practices in AI and automation.Identify and implement enhancements to improve tool performance and user experience.Adopt a proactive approach to problem-solving, optimising automation processes for efficiency.Contribute to the development of best practices for internal tooling and automation solutions.What it takes to succeed:3-5 years of experience in automation engineering, AI/ML integration, or internal tooling development.Experience working cross-functionally with Product, Engineering, and Support teams to drive automation initiatives.Proven track record in optimising workflows, reducing manual processes, and improving operational efficiency.Strong expertise in web technologies (HTML, CSS, JavaScript) and API development (RESTful, GraphQL).Experience with server-side frameworks such as Express.js (Node.js), Django (Python), or Spring Boot (Java).Proficiency in scripting languages (e.g., Bash, Python) for automation tasks.Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and automation deployment tools.Strong understanding of AI/ML model integration into existing workflows.Excellent problem-solving skills with high attention to detail.Strong communication and collaboration skills to work effectively with cross-functional teams.Ability to work independently and manage multiple priorities efficiently.