Academy SMART

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