Experience:

• Over 2 years of experience as an AI engineer implementing commercial or scientific projects using LLM services

Qualification:

• Higher education in computer science or related fields, e.g., data science, mathematics, econometrics, quantitative methods

Responsibilities:

• Design and implementation of Gen AI solutions
• Building and deploying RAG and agent-based solutions
• Prototyping AI applications
• Development and implementation of production-level solutions
• Collaboration with clients
• Process analysis
• Requirements gathering
• Presentation of concepts and business cases
• Discussion of obtained results
• Evaluation of new technologies, libraries, approaches

Nice to have:

• Experience in consulting and advisory services
• Experience in implementing data science/AI projects from inception to production launch
• Knowledge of Azure Databricks
• Knowledge of PyTorch, TensorFlow
• Experience in model operationalization
• Certificates confirming skills

More skills:

Azure: OpenAI, Document Intelligence, AI Search, Databricks, Azure ML, LangChain, LangGraph, MLflow, Streamlit, Sharepoint, RAG techniques, prompt engineering, natural language processing (NLP)

Other:

• Participation in diverse and technologically advanced GenAI projects
• Modern technology stack
• Openness to implementing new solutions
• Work in a dedicated Data Science team
• Private healthcare and sports card
• Flexible work hours
• Possibility of 100% remote work
• Team-building events
• Company event