Hybrid AI Data Engineer, Mid-Senior, Python

at nexos.ai

• Job title: AI Data Engineer, Mid-Senior, Python
• Job type: Full Time
• Experience level: Senior
• Salary: €4,500 - €7,100 per month
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, BigQuery, Docker, ETL, Kafka, Keras, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Vilnius, Lithuania

About the role

• AI Data Engineer building AI-driven B2B analytics SaaS for Tesonet Group. Shaping architecture and collaborating within teams for marketing analytics.

Responsibilities

• 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.