Job Description

Roles & Responsibilities

Tabby 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 FinTech 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.

5+ years of backend engineering experience, with at least 2 years working with Golang and 2 years working with Python
Plus will be an experience with AI agent frameworks: Langchain, Langgraph, ADK
Plus 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 production
Experience building scalable, distributed systems and working with high-load architectures
Solid understanding of backend tools and technologies we use PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and a microservices architecture
Experience developing internal instruments, automations, CRM and so on
A passion for writing clean, testable, and maintainable code
A proactive mindset and the ability to work independently
Strong communication skills in English (B2 level or higher)

Development of backend for AI agent platform and microservices around it
Participate in the architecture setup, in choosing technologies
Stay 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 account, and help build a user-friendly product.

Senior Backend Engineer II tabby

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