Build and shape tomorrow’s AI-based application, ensure scalable data and AI pipelines.
Play with cutting-edge AI tech, prototyping and experimenting with LLMs (APIs, RAG, embeddings, etc.) to elevate accuracy, insight quality, and product impact.
Turn data into value by preparing, transforming, and managing datasets that power models, features and production systems.
Work closely with different teams to get things done together, partnering with product, data science and engineering to uncover smart AI opportunities and launch them into real use.
Fine-tune our systems and existing LLMs for excellence, create and optimize prompts, workflows, and model interactions for performance and reliability.
Own quality and scale by ensuring observability, robustness, and smooth operation across distributed data + AI systems.

Requirements

Proven experience writing clean, reliable Python code for data processing, automation, and transformation.
Strong understanding of data engineering fundamentals: ETL/ELT workflows, orchestrating jobs (e.g., Airflow), building and querying data warehouses (e.g., BigQuery), using version control, CI/CD and Docker containers effectively.
Optional experience training your own machine learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Keras or similar tools.
Optional experience in fine-tuning existing LLM models.
Comfort working across data plumbing and AI/model workflows, with the ability to switch between the two effectively.
Familiarity with tools like dbt, Kafka or other streaming systems and observability tooling (logs, metrics, tracing) is a plus.
A curious, fast-moving mindset with the ability to prototype quickly, learn new tech fast, and share knowledge with others.

Benefits

Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.
Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.
Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.
More free time. Stay with us and additional vacation days will be added to your calendar.
Additional paid leave. Additional days are covered by us in cases of illness or special occasions.
Flexibility. Flexible working time arrangement.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonETLELTdata processingdata transformationdata engineeringmachine learningLLM fine-tuningdata warehousingCI/CD

collaborationcuriosityadaptabilityprototypingknowledge sharingproblem-solvingcommunicationteamworkfast learningmindset