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.
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.
Requirements:
- 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
- A passion for writing clean, testable, and maintainable code
- A proactive mindset and the ability to work independently
- Strong communication skills in English
Responsibilities:
- 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
What we offer:
- Full-time B2B contract
- Fully remote setup
- Up to 20% tax allowance
- 22 paid leave days annually
- Stock options (ESOP) in a fast-scaling, pre-IPO company
- Flexi benefits you can use for wellness, travel, or learning
- Work alongside a high-performing, international engineering team in a global fintech unicorn