**Vacancy: **AI Engineer (CV & Navigation) / ML Developer for AR Navigation) **Grade: **Vibe-coder **Company: **JETLY **Format: **remote Location: Russia Citizenship: #RU Salary Range: from 310,000 to 430,000 rubles net per month **Employment Terms, Format: **Labor Contract/Individual Entrepreneur

✅About the Project DigiNavi (DN) is AR Indoor navigation with an immersive experience for shopping malls, airports, and exhibition centers. Our mission is to transform public spaces into SMART zones by adding game mechanics and a new user experience through Computer Vision and Augmented Reality technologies.

✅Tasks:

You will not just write code, but manage the development process through AI agents. We are implementing the VibeCoding approach: you are the solution architect, and AI is your primary execution tool. AI-Driven Development: Development and maintenance of code using AI agents (Claude Code, Cursor, OpenAI Codex, etc.). Refactoring & Architecture: Refactoring AI/ML and CV components in a heterogeneous environment (Go / C++ / Python). R&D: Rapid prototyping of hypotheses and implementation of new algorithms. Integration: Integration of ML models into a microservice architecture (gRPC / Kafka). Optimization: Inference optimization and working with high-load systems.

✅Requirements Python: Confident level, experience in developing AI/Computer Vision solutions. CV & ML: Knowledge of algorithms (SuperPoint, NetVLAD, Gaussian Splatting). Experience with PyTorch, OpenCV. AI Tools: Practical experience with Claude Code, Cursor, Antigravity, or similar. Understanding of the VibeCoding workflow. Backend & Ops: Experience in production deployment of ML services (FastAPI, Docker, gRPC). Understanding of microservice architecture (Kafka). Polyglot: Willingness to work in an environment where Go and C++ coexist (reading, integration, basic understanding). Process & Methodology: Understanding and application of SDD (Specification-Driven) and TDD approaches. Ability to quickly prototype and test hypotheses. Experience working with technical documentation (and the ability to create it where it is missing).

Will be an advantage: Experience in optimizing inference for mobile and server environments. Experience with GCP cloud infrastructure. Understanding of AR/VR development specifics.

Stack: Python, PyTorch, OpenCV, FastAPI, gRPC, Kafka, Docker, GCP, Go, C++

Please send your resume and questions to Telegram direct messages @Geniya_HR