AI & ML Engineer

AI & ML Engineer developing complex data systems for Finbet. Evolving RAG systems and contributing to data science initiatives in iGaming products.

Posted 4/17/2026full-timeBelgrade • 🇷🇸 SerbiaMid-LevelSeniorWebsite

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

Key responsibilities & impact

Maintain, improve, and extend our existing RAG pipeline — including chunking strategies, retrieval optimisation, re-ranking, and evaluation.
Help design and implement an agentic layer on top of the RAG system, integrating tools, memory, and multi-step reasoning using frameworks such as LangChain, LangGraph, or similar.
Experiment with prompting strategies, agent architectures, and LLM integrations (OpenAI, Anthropic, open-source models).
Contribute to the design and development of churn prediction and early identification of customer behaviour models.
Help build personalised recommendation systems supporting marketing campaigns and player engagement.
Support advanced customer segmentation initiatives.
Assist in building and maintaining end-to-end ML pipelines — from data ingestion and feature engineering to model training, deployment, and monitoring.
Write clean, production-ready Python code and contribute to shared tooling and best practices.

What you’ll need

Minimum 3 years of hands-on experience in AI/ML engineering or data science.
Bachelor's degree (or higher) in Computer Science, Data Science, Mathematics, or a related field.
Solid Python skills — comfortable with libraries such as pandas, NumPy, scikit-learn, and at least one deep learning framework (PyTorch or TensorFlow).
Practical experience with LLMs and RAG — familiarity with vector databases (e.g. Pinecone, Weaviate, pgvector), embedding models, and retrieval pipelines.
Experience or strong interest in agentic frameworks (LangChain, LangGraph, AutoGen, or similar).
Working knowledge of SQL and data preprocessing.
Familiarity with containerisation (Docker) and basic cloud concepts (AWS, GCP, or Azure).

Comp & perks

Private Health insurance
FitPass membership and in-house gym
Access to resources to help you grow
Competitive salary
Work-life balance
Supportive atmosphere
Permanent position: Stability in an established growing company.
Exciting opportunity: Work on complex data systems and large-scale analytical workloads.
Modern data stack focused on automation, scalability, and performance.

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Hard Skills & Tools

PythonpandasNumPyscikit-learnPyTorchTensorFlowmachine learningdata sciencedata preprocessingchurn prediction

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in Mathematics