Python Developer

AI overview

Design and build the backend of an innovative AI-powered mobile application, directly impacting product scalability and user satisfaction through clean and maintainable code.

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for a Python Developer for Elva.

Location: Remote

Job Type: Full-Time

About the Project:
Elva is a mobile app with a subscription for exclusive video content and tools for video creation.

About the Role:

We’re looking for a Python Developer to design and build the backend of Elva’s innovative AI-powered application. You’ll work on modular architecture, integrate external APIs, and contribute to product functionality and user experience.
This is a hands-on role where your code and technical decisions will directly impact product scalability, performance, and user satisfaction.

Tech Stack / Tools:

  • Languages & Frameworks: Python 3.10+, FastAPI, aiohttp, gRPC, grpclib

  • Databases & Caching: PostgreSQL, Redis

  • Messaging & Processing: Kafka, opencv-python

  • Testing & Deployment: pytest, Docker Compose

  • AI/ML Frameworks: PyTorch, TensorFlow

Responsibilities:

  • Design a modern, modular, and scalable backend architecture.

  • Write clean, maintainable, and testable code.

  • Integrate third-party APIs (AI, monetization, etc.).

  • Optimize and maintain existing codebase.

  • Implement innovative solutions and best practices.

Requirements:

  • 4+ years of professional experience in Python development.

  • Hands-on experience building backend services from scratch and deploying to production.

  • Deep understanding of modern Python development practices.

  • Experience designing and developing reusable modules/libraries.

  • Strong expertise with relational databases.

  • Knowledge of modern deployment practices.

  • Solid experience with asynchronous processing and task queues.

  • Experience with monitoring, logging, and tracing tools.

  • Familiarity with REST and gRPC.

  • Business-oriented mindset.

  • Self-organization, responsibility, and proactivity.

  • Readiness to adapt the product quickly to market conditions.

Nice-to-have:

  • Strong experience integrating ML models (PyTorch, TensorFlow, etc.).

  • Experience building backends for AI-oriented applications.

  • Experience with AWS and/or DigitalOcean infrastructure.

Hiring Process:

  • Screening interview (30 min)

  • Technical interview (90 min)

  • Final interview with CTO (60 min)

  • Offer

What’s next?

If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.

We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

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