Summary
AppliedAI is an Abu Dhabi-based AI technology company developing solutions for regulated industries. The Backend Engineer will build and maintain Python services, APIs, and backend systems for the Opus platform, working with frontend, product, DevOps, and machine learning teams. The role involves testing, code reviews, deployment support, and applying observability and software architecture practices. The position is on-site in Abu Dhabi, and visa sponsorship is available for international candidates.
The posting
As published on appliedai.com. Pulled from the employer's site and shown as they wrote it.
Backend Engineer - Python
On-site | Abu Dhabi
AppliedAI 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 AppliedAI 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.
Position Overview:
As a 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.
Key Responsibilities:
Code Quality & Architecture
- Write clean, readable, and well-documented code with guidance from senior engineers where needed.
- Implement unit and integration tests to ensure code quality and reliability.
- Participate actively in code reviews, giving and receiving constructive feedback.
- Develop familiarity with SOLID principles, domain-driven design, and modular architecture practices.
- Contribute to refactoring and backend improvement efforts under technical direction.
Collaboration & DevOps
- Work closely with frontend, DevOps, and ML team members to deliver features end-to-end.
- Contribute to CI/CD pipelines and support deployment processes.
- Apply logging and monitoring best practices to ensure observability of your code in production.
- Communicate progress and blockers clearly, and collaborate proactively to resolve issues.
Continuous Learning & Innovation
- Actively develop your knowledge of backend, infrastructure, and DevOps best practices.
- Show curiosity around emerging technologies and contribute ideas for improvement.
- Take ownership of assigned features and see them through to production with appropriate support.
- Support junior engineers and contribute to a collaborative team culture.
Qualifications:
- Experience building backend services using Python, with some exposure to microservices or distributed systems.
- Hands-on experience with at least one real-time messaging or streaming technology (Kafka, Redis Pub/Sub, RabbitMQ, or similar).
- Practical experience with asynchronous task processing using distributed task queues (Celery, RQ, or similar).
- Experience building REST APIs using modern Python frameworks (FastAPI, Flask, or similar).
- Some exposure to ETL workflows or data pipelines; familiarity with orchestration tools such as Airflow or Prefect is a plus.
- Understanding of caching strategies and message broker concepts.
- Comfortable working with Docker to deploy and run containerised applications.
- Working knowledge of relational databases (PostgreSQL or similar) and basic query optimisation.
- Exposure to CI/CD pipelines and automated testing practices.
Education:
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Benefits:
- 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.
- Comprehensive private health insurance.
- Visa sponsorship for international candidates.