Backend Engineer (Python/Django)

About the role

Ailytics builds AI solutions that combine computer vision and predictive analytics to help organisations identify risks and optimise processes. As a Backend Engineer you will build and maintain the APIs, data models and services that turn a continuous stream of detections into the dashboards and mobile apps customers use. You will work in a small, senior team with a direct line to the CTO, Product Managers and senior management, and the role is fully remote, open to candidates within 2.5 hours of Singapore's time zone.

Key responsibilities

• Design, build and deploy scalable backend systems powering the AI platforms and web and mobile applications.
• Lead projects end to end, from scoping and technical design through delivery, with real ownership of the outcome.
• Apply sound data-structure and algorithm fundamentals so APIs and database queries hold up as data volumes grow.
• Collaborate with the AI, Product and Engineering teams to shape the technical roadmap.
• Conduct code reviews and improve the stability, performance and maintainability of existing systems.
• Partner with the Infrastructure team to roll out and manage cloud resources on AWS and other providers.
• Use AI-assisted development tools (writing, reviewing, testing and documenting code) and help the team get better at them.

Required profile

• At least 3 years of professional experience with Python, specifically Django (hard requirement).
• Strong understanding of data structures and algorithms, and the judgement to know when they matter.
• Comfortable leading projects: taking an ambiguous problem, breaking it down, driving it to completion and communicating progress clearly.
• Solid API and data modelling skills, designing REST APIs and relational schemas that stay clean over time.
• Experience with task queues and asynchronous processing; hands-on with AI-assisted development tools and an instinct for automating repetitive work.
• Comfortable in a lean startup environment, working remotely, self-directed, communicative and reliable without close supervision.

Required skills

• Python and Django
• REST APIs and relational data modelling
• Task queues and asynchronous processing (Celery or similar)
• Message brokers (Redis, RabbitMQ, Kafka or equivalent) and caching strategies
• Good to have: AWS, FastAPI or Flask, some frontend or TypeScript, Docker, CI/CD pipelines, automated testing