Key skills
Distributed SystemsETLJavaScriptNode.jsPostgresPythonTypeScriptAIMachine LearningOpenAIAnthropicPostgreSQLSupabasePrisma
About this role
Role Overview
- 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
Tech Stack
- Distributed Systems
- ETL
- JavaScript
- Node.js
- Postgres
- Python
- TypeScript
Benefits
- Remote-first with options for hybrid work in Germany
- Flexible work arrangements