Backend (Python) Engineer / AI Integration Specialist
Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Our client is a Netherlands-based product company developing an intelligent platform that automates logistics and freight-forwarding processes through AI-driven solutions.
Responsibilities
- 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
Requirements
- 4+ years experience with Python/AI/ML
- 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
- Fluent English (spoken and written)
Nice to Have
- 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
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
Hiring Process
- HR interview
- Technical interview
- Interview with CEO
Reach out to start talking today!
Share your LMS goals, technical needs, or current platform challenges. Our team will review and get back to you with the next steps.
Academy Smart team is really in the thinking process which is unusual when you are outsourcing the project. When we send a new batch of features we want to have on our platform, they always come back with feedback including advice for either better performance or costs saving. We have a great Project Manager for 1,5 years and it’s really different from other companies. It really feels that we are working on the same project.
Alain Rees
CEO, Cyber Inc.