Senior Data Scientist (Agentic AI Platform)

About the role

A Senior Data Scientist is sought to build an Agentic AI Platform: a system of autonomous, tool-using AI agents that plan, reason and execute complex business workflows end-to-end. The role combines strong ML fundamentals with hands-on experience in LLM-based application development, agent orchestration and Microsoft Azure, and includes mentoring junior team members and setting technical direction for GenAI initiatives.

Key responsibilities

• Design, build and productionise multi-agent systems (planning, tool/function calling, memory, orchestration) with frameworks such as LangGraph, AutoGen, CrewAI or Semantic Kernel.
• Build end-to-end RAG pipelines: ingestion, chunking, embeddings, vector search (Azure AI Search, FAISS, pgvector), re-ranking and grounding.
• Integrate agents with enterprise systems and APIs via tool/function calling and Model Context Protocol (MCP).
• Build and maintain LLM evaluation frameworks, guardrails, safety and governance, and implement LLMOps/MLOps (experiment tracking, prompt versioning, CI/CD, observability, drift monitoring).
• Fine-tune and optimise LLMs (LoRA/PEFT, prompt optimisation, model routing) and classical ML models (classification, regression, forecasting, NLP).
• Collaborate with data engineers on data quality and governance across Azure Data Lake, Databricks and Synapse, and mentor junior data scientists.

Required profile

• Professional experience in data science / ML, with LLM or GenAI applications in production.
• Hands-on experience with agentic frameworks (LangChain/LangGraph) and strong understanding of LLM application patterns and prompt engineering.
• Bachelor's or Master's degree in a related field preferred.
• Preferred: Microsoft certifications AI-102 and DP-100, and experience fine-tuning open-source LLMs (Llama, Mistral, Phi) with LoRA/QLoRA and serving them.

Required skills

• Expert-level Python (pandas, NumPy, scikit-learn, FastAPI, async programming)
• Vector databases and embeddings (Azure AI Search, Pinecone, Weaviate, Qdrant, FAISS, pgvector)
• Strong SQL and classical ML (supervised/unsupervised learning, hyperparameter tuning)
• Preferred: Azure OpenAI, Azure ML, Azure AI Search, Databricks, Synapse, MCP, LangSmith, MLflow, Docker/Kubernetes, PySpark, knowledge graphs

What we offer

• Initial basic salary of 13,591 to 21,233 PLN per month, depending on experience and skills.
• Meal vouchers, flexible benefits budget, retail discounts, private kindergarten/nursery allowance, flexible hours and home office days.
• On-site benefits and relocation support with housing allowance if moving to Slovakia.