Senior Backend Engineer (Python)

Tabby; Riyadh; Remote; SAR 299,000 - 450,000; Full time

Job summary

A leading financial technology company is seeking a Senior Backend Engineer to develop an AI agent platform. This fully remote role requires expertise in Golang and Python, with experience in AI frameworks considered a plus. The successful candidate will join a dynamic team and contribute to impactful projects, helping shape innovative solutions in a high-growth environment. Competitive benefits include a full-time B2B contract, stock options, and relocation support.

Benefits

Fully remote setup

Stock options (ESOP)

22 paid leave days annually

Flexi benefits for wellness, travel, or learning

Qualifications

• 5+ years of backend engineering experience, with at least 2 years in Golang and 2 years in Python.
• Experience with AI agent frameworks: Langchain, Langgraph, ADK is a plus.
• Experience in building or integrating LLM-based features and agent-centric architectures is a plus.

Responsibilities

• Development of backend for AI agent platform and related microservices.
• Participate in architecture setup and technology choices.
• Stay updated with AI agent technology frameworks and improvements.

Skills

Backend engineering experience

Golang expertise

Python experience

Experience with AI agent frameworks

Scalable, distributed systems

Strong communication skills in English

Tools

PostgreSQL

Redis

Kubernetes

Google Cloud Platform

GitLab

Job description

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 $4.3 billion.

Role

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.

Department

Customer Happiness, Engineering

Employment Type

Full Time

Location

Remote/Serbia

Workplace type

Fully remote

Reporting To

Aleksandr Grishin

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

Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation, legal setup.

About Tabby

Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.

The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 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 has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.

Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.

Apply Now

Our Hiring Process

1. Applied
2. Review
3. HR call @Tabby
4. Technical interview @Tabby
5. Final interview @Tabby
6. Hired

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