Data & AI engineer - Mid/Senior (m/f)

InsiderCX is a fast-growing startup helping private healthcare providers improve patient experience and protect their reputation. We work with clinics and hospitals across Europe, turning patient feedback into actionable insights. We are currently building a new version of our platform, which is live in 6 European countries (UK, Italy, Croatia, Serbia, BiH, Slovenia) and planned to expand to 4 new countries in 2026. You will work on a platform that processes 500,000+ patients yearly and leverages proprietary AI models for extracting patient feedback (also sprinkling some LLMs on top!). What You’ll Do - Analyze patient survey datasets to uncover engagement patterns and actionable operational insights - Run A/B tests on message timing, formats, and channels to improve response rates - Design and implement AI agents that automate patient experience workflows - Build robust data pipelines for LLM-based data flows and processing - Create data analysis frameworks and automated reporting to deliver continuous value to clients - Integrate AI capabilities into production systems, working closely with backend teams - Monitor model performance and iterate based on real-world results - Experiment with AI techniques and translate research into practical applications

What We’re Looking For - Strong understanding of statistical analysis, hypothesis testing, and pattern recognition - Strong understanding of data modelling concepts and the ability to design effective data models. - Proficiency in data engineering tools and languages (e.g., Python, SQL, Apache Spark). - Hands-on experience fine-tuning and deploying LLMs (OpenAI, Anthropic, open-source models) - Solid understanding of NLP and prompt engineering - Experience with data analysis and statistical methods for extracting actionable insights - Experience building data pipelines and ETL workflows (e.g., Airflow, Prefect, or similar) - Familiarity with MLOps practices (model versioning, monitoring, deployment) - Comfortable working in an agile environment - Curious, reliable, and self-driven engineer - Proficiency in English, both written and verbal Nice to Have - Experience with data visualization tools (Plotly, Matplotlib, Tableau) for client reporting - Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks - Background in healthcare data or working with sensitive/regulated data - Familiarity with cloud ML platforms (GCP Vertex AI, AWS SageMaker, Azure ML) - Knowledge of SQL and relational databases - Understanding of API design for ML services - Experience building and fine-tuning proprietary LLMs for specific use cases and optimizing their performance - Experience with Docker and containerized ML applications