Backend Engineer

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

If you have any questions or need clarifications, feel free to reach out to our Talent Hunter Team by email.

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