Location: Remote
Time Zone: Europe (±2 hours)
Language: Fluent English (spoken and written)
About the Project Our client is a Netherlands-based product company developing an intelligent platform that automates logistics and freight-forwarding processes through AI-driven solutions.
What You’ll Do
Design, develop, and enhance AI agents that automate logistics workflows
Expand the capabilities of intelligent bots for customer support and commercial proposal generation
Improve model reliability and reduce LLM hallucinations
Build dashboards for both customers and internal teams
Optimize and scale existing systems through refactoring and performance improvements
Technical Requirements
Strong experience with Python and Django/FastAPI
Solid understanding of OAuth 2.0, SSO, and REST APIs
Experience with PostgreSQL (SQLAlchemy is a plus)
Experience with Redis/RabbitMQ and Celery
Hands-on experience with LLM-related tools and frameworks, such as:
Ollama
LlamaIndex
LangChain / LangGraph
Tool Calling
Sentence Transformers
Experience with:
Pandas
NumPy
scikit-learn
pytest
Faker
Experience working with email systems (parsing, generation, routing)
Knowledge of prompt engineering or practical experience integrating LLM-based solutions
Nice-to-Have Skills
Experience in logistics, freight forwarding, or supply chain domains
Experience optimizing ML/LLM pipelines
Knowledge of RAG architectures, FAISS, and Vector Databases
Strong focus on code quality, maintainability, reusability, and stability
DevOps experience with CI/CD, Docker, Docker Compose, and Kubernetes
Hands-on experience with monitoring and observability using the Grafana stack
What We Offer
The opportunity to build solutions that impact real-world business operations in a global industry
Fast decision-making and the flexibility of a startup environment
Direct influence on product direction and technology choices
A collaborative team with an open and transparent culture
