Department: Customer Happiness, EngineeringEmployment Type: Full TimeLocation: RemoteReporting To: Denis SakhnovDescriptionTabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing Fin Tech in the GCC region.Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion.We're looking for a Senior Backend Engineer to help us build an internal AI agent platform.You'll be joining a very early-stage initiative to build an internal platform for an AI agent ecosystem. This is your chance to be a key player in shaping a transformative project from the ground up — one that will scale into a powerful platform impacting multiple areas of the business. You'll contribute to the foundation of a game-changing solution that integrates AI technologies to drive automation and innovation across the company. You'll work with cutting-edge technologies, including LLMs and agent frameworks, designing architectures at the intersection of large-scale services and AI, and helping integrate them deeply into core internal tools.You'll work on high-impact projects in a high-growth environment, alongside a world-class remote engineering team spread across 20+ countries.Key Responsibilities5+ years of backend engineering experience, with at least 2 years working with Golang and 2 years working with PythonPlus will be an experience with AI agent frameworks: Langchain, Langgraph, ADKPlus will be an experience in building or integrating LLM-based features and agent-centric architectures.Big plus will be an ML experience: learning and evaluation of models, implementation of them in productionExperience building scalable, distributed systems and working with high-load architecturesSolid understanding of backend tools and technologies — we use Postgre SQL, Redis, Kubernetes, Google Cloud Platform, Git Lab, and a microservices architectureExperience developing internal instruments, automations, CRM and so onA passion for writing clean, testable, and maintainable codeA proactive mindset and the ability to work independentlyStrong communication skills in English (B2 level or higher)Skills, Knowledge & ExpertiseDevelopment of backend for AI agent platform and microservices around itParticipate in the architecture setup, in choosing technologiesStay up to date with updates and frameworks around AI agent technologies, study and experiment.Improve and optimize parts of the platform related to agent creation, quality evaluation, and performance under load.Work closely with platform clients, take feedback into