AI Platform Engineer

Quick Facts

• Role: AI Platform Engineer

Description

Design and deploy AI solutions that support data products, platform automation, and business processes. Build scalable AI applications and integrate them into enterprise data platforms in collaboration with engineers, architects, and stakeholders.

Responsibilities

• Design, develop, and deploy AI solutions in production environments

• Build reusable AI components, frameworks, and pipelines

• Integrate AI capabilities into enterprise data platforms

• Optimize AI workloads and data processing pipelines

• Collaborate cross-functionally to deliver scalable AI solutions

• Contribute to AI platform development, automation, and best practices

Requirements

• 3+ years of experience in AI Engineering, Data Engineering, Software Engineering, or related field

• Experience with LLMs, Generative AI, Agentic AI, MCP servers, or AI platform development

• Strong knowledge of Python and SQL

• Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms

• Experience with Azure services (Azure Databricks, Synapse, Fabric, Functions, Event Hub)

• Familiarity with CI/CD, MLOps, automation, and model monitoring

• Knowledge of microservices, containers, and Kubernetes

• Strong analytical, problem-solving, and communication skills

Benefits

• Private healthcare (Medicover)

• Multisport card

• Group life insurance

• Fully remote work within Poland

• Long-term project in an international environment

• Opportunity to work with cutting-edge AI technologies and enterprise-scale platforms