You will be part of an R&D team designing modern AI solutions, leveraging both agents based on large language models and classical machine learning models. Our goal is to automate complex processes and build systems capable of deeply understanding diverse multimodal data. Our current projects include, among others, intelligent extraction of key information from unstructured sources, implementation of innovations supporting digital transformation in transportation, and development of advanced AI agents capable of performing tasks fully autonomously.

AI Engineer

Your responsibilities

• research, design, and train advanced machine learning models, including proprietary language models (LLMs) to replace external providers.
• design and implement scalable AI solutions, such as chatbots, autonomous agents, and systems based on Retrieval-Augmented Generation (RAG) architecture.
• experiment with large language models, including their fine-tuning, distillation, and optimization for performance and specific business needs.
• create and deploy autonomous AI agents to automate complex business processes.
• analyze, process, and integrate various types of data (text, geolocation, tabular, time series) using modern platforms like Snowflake.
• stay up-to-date with AI trends, analyze scientific literature, and continuously monitor and optimize the performance of deployed models.

Our requirements

• Minimum 3 years of commercial and/or research experience in designing and deploying NLP and Machine Learning (ML) models.
• Documented experience in production deployment of Generative AI (GenAI) and RAG architecture.
• Fluent in Python and key AI/ML libraries: PyTorch, Scikit-learn, Transformers, Langchain, MLflow.
• Good knowledge of SQL and cloud data platforms (e.g., Snowflake).
• Experience with AWS, Azure, or GCP.
• Knowledge of Git, Dvc, and orchestration tools (e.g., Airflow, Dagster).
• Highly developed communication and interpersonal skills.
• Ability to work effectively in a team and analyze scientific literature.
• Publishing scientific and technical articles or sharing research results within the industry.
• Participating in AI/ML conferences and workshops as a presenter.
• Experience in creating agentic systems using LangGraph or Google ADK.
• Practical experience in building advanced recommendation systems.

What we offer

• Private healthcare with Lux Med, free preventive check-ups, and therapeutic massages to relieve spinal strain.
• Budget for equipping a remote work setup and gift vouchers.
• Buffet-style breakfasts freshly prepared on-site.
• Team-building and family retreats at a private lakeside resort.
• International workation trips as part of team integration activities.
• Subsidized MultiSport sports card.