SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Tabby is a fintech platform that enables shoppers to split payments with no interest or fees, serving 15+ million users and processing $10 billion in annual transaction volume. The company is valued at $4.5 billion and is the largest, fastest-growing fintech in the GCC region.
You will join an early-stage initiative to build an internal AI agent platform—a transformative project designed to scale across the organization. This is a ground-floor opportunity to shape a game-changing solution from inception, working at the intersection of large-scale distributed systems and AI technologies.
Key responsibilities include:
- Develop backend infrastructure and microservices for the AI agent platform
- Participate in architecture design and technology selection
- Stay current with AI agent frameworks and technologies; experiment and evaluate new approaches
- Optimize platform components related to agent creation, quality evaluation, and performance under load
- Collaborate closely with platform users to gather feedback and build a user-friendly product
Required qualifications:
- 5+ years of backend engineering experience
- 2+ years with Golang and 2+ years with Python
- Experience building scalable, distributed systems and high-load architectures
- Strong backend technology stack: PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, microservices
- Passion for clean, testable, maintainable code
- Proactive mindset and ability to work independently
- B2+ English communication skills
Desirable experience:
- AI agent frameworks (Langchain, Langgraph, ADK)
- Building or integrating LLM-based features and agent-centric architectures
- ML experience: model learning, evaluation, and production implementation
- Developing internal tools, automations, and CRM systems
You'll work with a world-class remote engineering team distributed across 20+ countries in a high-growth environment.
