Python Backend Developer

We're looking for a Python Backend Developer with a strong algorithmic mindset to join a sea transport logistics project. You'll be working on route optimization — designing and implementing algorithms and calculation models that solve concrete business problems in shipping and freight planning.  

Responsibilities: 

• Implement features and resolve bugs using AI coding tools as your primary workflow 
• Work with geospatial data: coordinates, routes, distance and travel-time calculations, coordinate transformations 
• Integrate and work with mapping / geolocation services (e.g. Google Maps APIs) for geocoding, distance matrices, and route data 
• Use AI coding assistants (Claude Code, Cursor or similar) as a primary part of your workflow to close a high volume of tasks 

• Document the logic behind your solutions so the team can reason about it after you 

   

Requirements: 

• 3+ years of production Python experience with a focus on algorithmic and computational tasks  
• Experience with optimization problems: route optimization, scheduling, resource allocation, or an adjacent class of problem 
• Working knowledge of graph algorithms and algorithmic complexity  
• Experience working with geospatial data (coordinates, distances, GeoJSON or similar) 
• Hands-on experience with optimization libraries — OR-Tools, NetworkX, PuLP, SciPy.optimize 
• Daily working experience with Claude Code, Cursor or similar AI coding tools 
• Upper-Intermediate English or higher 

Nice to Have: 

• Mathematical background: linear programming, combinatorial optimization, operations research, graph theory, statistics 
• Experience with Google Maps Platform APIs (Distance Matrix, Directions, Geocoding) or equivalents 
• Docker, basic cloud familiarity 

• Understanding of multi-agent AI systems 

   

We Offer: 

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches  
• Flexible workload: full-time or part-time — we're open to both, depending on your availability 
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually  
• Professional Growth: Compensation for courses, certifications, and learning resources  
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.) 

Recruitment Process: 

1. HR Interview  

2. Technical Interview   

3. Final Interview   

4. Job Offer