Middle Flutter Full-Stack Developer (вакансія неактивна)

We are looking for a motivated Flutter Full-Stack Developer (Mid Level) to join our team.
You will work on developing and scaling a high-performance AI-powered mobile application,
collaborating closely with Product, Backend, Growth, and Infrastructure teams.

What You’ll Do

● Develop and maintain cross-platform mobile applications using Flutter (iOS &
Android).
● Build scalable backend services using Python (FastAPI or similar frameworks).
● Integrate AI models and third-party APIs (LLMs, image generation, payments,
analytics).
● Design and implement secure REST/GraphQL APIs.
● Optimize app performance, responsiveness, and scalability.
● Work with GCP infrastructure, including deployment, monitoring, and cloud
services.
● Ensure clean architecture, maintainable code, and strong separation of concerns.
● Collaborate closely with Product, Growth, QA, and BI teams.
● Participate in code reviews and contribute to engineering best practices.
● Monitor production systems and support troubleshooting when needed.

Requirements

● 3–5 years of professional experience in mobile and/or backend development.
● Strong experience with Flutter (Dart) for production-grade apps.
● Solid experience with Python backend development (FastAPI, Django, or similar).

● Experience working with REST APIs, authentication flows, and secure data
handling.
● Good understanding of cloud infrastructure, ideally Google Cloud Platform (GCP).
● Experience with databases (PostgreSQL, Firestore, MongoDB or similar).
● Familiarity with CI/CD pipelines and deployment workflows.
● Strong debugging and problem-solving skills.
● Clean code mindset and understanding of scalable app architecture.
● Ability to work independently and take ownership of features.
● Upper-Intermediate English communication skills required.

Desirable Experience

● Experience integrating AI/LLM APIs (OpenAI or similar).
● Experience with subscription systems (RevenueCat, in-app purchases).
● Experience optimizing AI cost-performance (model selection strategies).
● Experience working with microservices architecture.
● Familiarity with monitoring tools (e.g., GCP Monitoring, Sentry, etc.).
● Experience working in subscription-based mobile apps.
● Interest in performance optimization and AI product scaling