We create modern, cloud-based AI systems built on a microservice architecture that automatically generate and update travel offers by integrating data from multiple sources.
We use recommendation algorithms, trend forecasting and other advanced technologies to help travel agencies and agents sell and manage bookings more quickly and effectively.
Our platform ensures that customers receive tailored, attractive offers in a short time — and we continuously develop it using the latest technologies.
responsibilities :
Design and implement AI solutions in Python using modern ML/DL frameworks.
Build and productionize RAG systems (chunking, embeddings, retrievers, rerankers, vector databases).
Fine-tune domain LLMs; optimize prompts, guardrails, latency, and costs.
Develop robust data pipelines and training/inference workflows (batch and real-time).
Serve models via APIs/microservices (e.g., FastAPI) with scalability, reliability, and observability.
Own the ML lifecycle: experimentation, evaluation, deployment, monitoring, and optimization.
Integrate and optimize LLM-based services; implement evaluation and monitoring.
Conduct code and architecture reviews; mentor junior engineers and share knowledge.
Collaborate with stakeholders to translate business requirements into technical solutions.
Debug, profile, and improve performance and reliability of existing applications.
Use CI/CD pipelines to automate testing and delivery.
requirements-expected :
4+ years of experience delivering production ML systems.
Strong Python skills and solid software engineering practices.
Hands-on experience with scikit-learn and at least one DL framework (PyTorch, TensorFlow, Transformers).
Practical experience with LLMs and related components (RAG, embeddings, vector DBs).
Experience with LLM evaluation/monitoring, prompt design, and guardrail frameworks.
Familiarity with AWS or Google Cloud.
Proficiency with Docker and Kubernetes.
Experience with relational and NoSQL databases.
Proficiency with Git and collaborative workflows.
Strong communication and teamwork skills.
Understanding of AI security, privacy, and regulatory considerations.
offered :
Real impact on technologies and solutions – we appreciate initiative and ideas.
Work on global applications in a dynamic industry, including travel (yes, this is a big challenge today!).
Focus on code quality – we write tests, do code reviews, take care of scalability and security.
Possibility of training and competence development – we share knowledge internally, and also participate in conferences and courses.
Subsidized holiday trips to attractive destinations!
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
