AI Engineer / ML Developer
Remote | 310,000 - 430,000 rubles net salary
Vibe-coder
Vacancy: AI Engineer (CV & Navigation) / ML Developer in AR Navigation)
Grade: Vibe-coder
Company: JETLYN
Format: remote
Location: Russia
Citizenship: RF
Salary Range: from 310,000 to 430,000 rubles net salary per month
Employment Conditions, Format: Employment Contract/Individual Entrepreneur
✅About the Project
DigiNavi (DN) is AR Indoor Navigation with an immersive experience for shopping malls, airports, and exhibition complexes. Our mission is to transform public spaces into SMART zones by adding gameplay 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 via 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: Optimization of inference and work 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 working with PyTorch, OpenCV.
- AI Tools: Practical experience working with Claude Code, Cursor, Antigravity or equivalents. Understanding of the VibeCoding workflow.
- Backend & Ops: Experience in production deployment of ML services (FastAPI, Docker, gRPC). Understanding of microservice architecture (Kafka).
- Polyglot: Ability 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 rapidly prototype and test hypotheses.
- Experience working with technical documentation (and ability to create it where it is missing).
Will be an advantage:
- Experience in optimizing inference for mobile and server environments.
- Experience working with GCP cloud infrastructure.
- Understanding of AR/VR development specifics.
Stack: Python, PyTorch, OpenCV, FastAPI, gRPC, Kafka, Docker, GCP, Go, C++
