Ingenjör

Rebtel is hiring an AI/ML Engineer to define AI tooling, build classical ML models (fraud, churn, forecasting) and LLM-powered systems (RAG, agents) for a user base of millions. This role sits on the Data team and will shape AI from the ground up.

• Own classical ML models for risk/fraud, churn prediction, forecasting, and segmentation end-to-end.
• Build LLM-based systems including RAG pipelines, agentic workflows, and prompt orchestration.
• Deploy, monitor, and retrain models in production with CI/CD and evaluation harnesses.
• Guide the company on AI strategy: what to build, buy, or ignore.

• 4+ years hands-on ML engineering in Python with production ownership.
• Strong fundamentals in classical ML: feature engineering, model selection, validation.
• Production mindset: monitoring, retraining, eval harnesses, CI/CD.
• Experience with LLM frameworks (LangChain, LangGraph, LlamaIndex or similar).
• Built RAG systems or LLM-backed products.
• Comfortable with vector databases, embeddings, and prompt evaluation.
• Experience with AWS/GCP/Azure, containers, and modern data stack.
• Excellent English communication and ability to translate business problems to ML.

• Experience with MLOps tooling (MLflow, Airflow, Kubernetes, feature stores).
• Background in fintech, payments, telecom, or regulated domains.