Data & Backend Engineer – AI-Driven Systems

This is a fully remote position, open to applicants in United Arab Emirates (UAE).

📋 Description

• Develop and manage data pipelines and processing workflows for large-scale geolocation datasets.

• Engage with analytical and relational databases (such as ClickHouse and PostgreSQL) focusing on schema design, query optimization, and integration techniques.

• Create and implement backend microservices using FastAPI, integrated within a comprehensive event-driven architecture.

• Work collaboratively with product, design, and engineering teams in a cross-functional environment, contributing to product decisions beyond mere implementation.

• Produce clean, production-ready Python code with a strong emphasis on quality, testability, and maintainability.

• Actively utilize AI-assisted tools in your daily tasks and contribute to the development of AI agents and multi-agent systems that enhance user efficiency in obtaining critical insights.

⛳️ Requirements

• Proficient in Python, with a focus on idiomatic and well-structured code; you value maintainability and readability in your work.

• Experience in data engineering, including hands-on work with data pipelines, transformations, or analytical/relational databases; a solid foundational understanding is more crucial than depth.

• Background in backend development using FastAPI or similar frameworks, with experience in building and deploying web backend services in Python; familiarity with FastAPI is advantageous but not mandatory.

• Understanding of event-driven architectures, including async patterns, message queues, or event streaming technologies such as Kafka or RabbitMQ.

• Strong commitment to code quality; you write tests, thoughtfully review code, and consider future developers who will work with your codebase.

• Ability to adapt to change and uncertainty; you don't require all the answers at the outset and are willing to iterate, ask insightful questions, and progress steadily.

• Willingness to embrace AI-augmented development; whether you currently use AI tools as a productivity enhancer or are eager to adopt this approach, a genuine interest in this practice is essential.

• Enthusiasm for AI agents; experience in building agentic systems or multi-agent workflows, or a demonstrated interest in developing this skill on the job.

• A product-oriented mindset; you engage with the rationale behind your work, taking ownership of outcomes rather than merely completing tasks.

• Nice to have: Experience with ClickHouse or other columnar/OLAP databases.

• Practical experience with geolocation or spatial data formats (such as GeoJSON, H3, PostGIS, etc.).

• Familiarity with orchestration tools like Airflow, Prefect, Dagster, or similar technologies.

• Experience with LLM APIs and agent frameworks (such as LangChain, LangGraph, or similar tools).

🏝️ Benefits

• Opportunity to work from home.

• Flexible hours to support work-life balance.

• Annual performance bonuses to recognize outstanding performance and dedication.

• Paid medical insurance to ensure your well-being.

• Daily lunch allowance to save money, time, and effort while enjoying complimentary meals at the office or at home.

• Sport/Gym allowance to prioritize your health and well-being.

• Unlimited subscription to Udemy to foster your learning and career development.

• Comprehensive onboarding plan and training for a smooth transition into your new role.

• Equipment support to ensure you have the necessary tools for effective and efficient work.

• No dress code policy for your comfort.

• Gifts and rewards to celebrate birthdays, anniversaries, and personal milestones.

• Engaging activities such as happy hours, coffee breaks, online team-building, company events, and more to promote team bonding and enjoyment.

• Access to fresh fruit, snacks, coffee, and tea at the office to keep you energized.