Applied AI Engineer

You will work with the Head of Data and AI office on R&D and product initiatives across every stage of the AI and data lifecycle. The role involves defining client-tailored MVPs, understanding data to identify meaningful insights, developing proof of concepts in notebooks, and productionizing solutions with an MLOps and LLMOps mindset.

Experience in data engineering within cloud-native architectures for operating data, AI, and enterprise systems at scale is beneficial. Experience delivering on Lakehouse platforms, particularly Databricks, is a strong advantage.

Industry: Healthcare, Finance, Cybersecurity, Sustainability

Quick Facts

• Flexible working hours
• Remote work option
• Projects with international teams
• Top-quality equipment

Description

Your daily work will include:

• Define and develop proof of concepts for Data and AI products and solutions
• Conduct market and technology research and architect optimal solutions for business challenges
• Map AI/ML techniques to specific business problems
• Build and productionize solutions on the Lakehouse using Databricks, including Unity Catalog, Delta Lake, MLflow, Model Serving, Mosaic AI Agent Framework, and Vector Search
• Forecast operational AI costs for solutions at scale
• Support business intelligence reporting to guide Data solutions
• Develop end-to-end data products and solutions with an MLOps and LLMOps mindset within the Data and AI framework
• Conduct product and feature discovery meetings with clients to identify cost-efficient solutions aligned with their goals, budgets, operations, talent pools, and data maturity
• Execute within established AI delivery and operations patterns and best practices

Qualifications

• 3+ years of experience delivering end-to-end Data and AI solutions and products
• Experience delivering systems and solutions with LLM agentic architectures
• Understanding of cloud-native architectures and operations
• Hands-on experience with Databricks or a comparable Lakehouse platform, such as Snowflake, BigQuery with Vertex, or Microsoft Fabric
• Familiarity with machine learning mathematical toolboxes
• Experience with containerized, scalable, elastic deployments and microservice architecture using REST or gRPC
• Data engineering experience
• SQL proficiency
• Understanding of data architectures: OLTP, OLAP, vector and graph databases, and column-based file formats
• Knowledge of DevOps, MLOps, and LLMOps best practices
• Innovative, curious, outcome-focused mindset
• Collaborative mindset focused on win-win outcomes
• Strong analytical and systems thinking
• Experience with Transformers, PyTorch, Jupyter notebooks, Python, pandas, NumPy, Matplotlib, and scikit-learn
• Databricks certifications (Data Engineer Associate/Professional, ML Associate/Professional, Generative AI Engineer Associate) are a nice-to-have

Benefits

Work Environment & Flexibility

• Flexible working hours
• Remote work option
• Exciting and challenging projects with international teams
• Top-quality equipment to support your work

Learning & Development

• Dedicated training budget for personal and professional growth
• English lessons with a native speaker

Health & Well-being

• Private medical insurance
• Multisport card
• Air-conditioned workspace
• Showers available at the office

Food & Comfort

• Lunches from Kraków’s top restaurants delivered to the office or reimbursement of the allocated budget
• Fully stocked kitchen with drinks, fruit, and snacks

Lifestyle & Fun

• Chillout area with bean bags, therapy balls, PlayStation 4, Nintendo Switch 2 with games, stretching area, and pull-up bar
• Regular team events
• No dress code
• Indoor bicycle parking