Senior Back End Engineer - Python

Applied

AI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services.

Opus is the world's first Knowledge Work AI platform
. Built by Applied

AI to pioneer Supervised Automation
, a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals.

The platform uses its proprietary Large Work Model to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities.

As a Full Stack / Backend Engineer, you will be responsible for designing and developing server-side logic, APIs, and backend systems using Python microservices. You will work closely with frontend developers, product managers, and data scientists to build scalable, secure, and maintainable software powering mission‑critical workflows.

The ideal candidate is passionate about clean architecture, performance, and backend scalability, with experience in full stack environments and a solid understanding of modern software practices.

Code Quality & Architecture

• Write clean, maintainable, and well‑documented code.
• Implement unit, integration, and end‑to‑end tests to ensure code quality.
• Participate in code reviews and maintain coding standards.
• Follow SOLID principles, domain‑driven design, and modular architecture practices.
• Refactor legacy systems and contribute to backend modernization efforts.
• Work closely with frontend, Dev Ops, and ML teams to ship features end‑to‑end.
• Contribute to CI/CD pipelines and deployment automation.
• Ensure observability and traceability through proper logging and monitoring.
• Proactively communicate challenges and work collaboratively to resolve them.
• Stay up to date with backend, infrastructure, and Dev Ops best practices.
• Explore emerging technologies and propose improvements.
• Take ownership of assigned features and see them through production deployment.
• Mentor junior engineers and share knowledge across the team.

• Experience designing and building scalable distributed systems using Python microservices with event‑driven architecture.
• Strong hands‑on experience with real‑time messaging and data streaming technologies (Kafka, Redis Pub/Sub, Redis Streams, Rabbit
  
  MQ, or similar).
• Proven expertise in architecting event‑driven systems using real‑time messaging and data streaming technologies such as Apache Kafka, Rabbit
  
  MQ, or Redis Streams.
• Proven expertise in asynchronous task processing with distributed task queues (Celery, RQ, or similar).
• Deep experience building high‑performance REST APIs with modern Python frameworks (FastAPI, Flask, or similar).
• Solid experience orchestrating complex ETL workflows and data pipelines using workflow engines (Airflow, Prefect, Dagster, or similar).
• Strong understanding of caching strategies and message broker systems.
• Experience deploying containerized applications using Docker across multiple environments.
• Ability to tune and optimize relational databases (Postgre
  
  SQL, MySQL, or similar) for high‑throughput operations.
• Experience with CI/CD pipelines for automated testing and deployment.

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• Opportunity to work with a leading AI technology company.
• Collaborative and innovative work environment.
• Growing, entrepreneurial and forward‑thinking culture.
• Career growth and professional development opportunities.
• Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
• 21 days of paid annual leave.
• Visa sponsorship for international candidates.