Data Engineer designing and implementing data models for AI applications at Aifano GmbH. Collaborating on scalable data pipelines and backend architecture in a hybrid setup.
Responsibilities
Designing and implementing data models to support AI-driven applications
Developing scalable data pipelines using Supabase, Prisma, and event-driven architectures
Supporting backend teams in database architecture, query optimization, and API development
Investigating and implementing prompt engineering techniques for AI model optimization
Researching and applying machine learning technologies to extract and process enterprise data
Ensuring data integrity, security, and performance across distributed systems
Collaborating with AI engineers to integrate foundation models into enterprise workflows
Writing clean, testable, and well-documented code for data infrastructure and services
Requirements
Strong expertise in data modeling, database design, and backend architecture
Experience with Supabase, Prisma, PostgreSQL, and event-driven architectures
Knowledge of ETL pipelines, data warehouses, and real-time data processing
Familiarity with prompt engineering and machine learning frameworks
Experience integrating AI models into backend systems (e.g., OpenAI, Cohere, Anthropic)
Proficiency in Python and TypeScript/Node.js for backend support
Strong problem-solving skills and a passion for AI-driven automation.
Benefits
Remote-first with options for hybrid work in Germany
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