Senior Data Engineer (AI)

Location: Remote position associated with New York, US; WeWork day-pass access and travel to the Munich headquarters and company events.

Salary: $100k–$250k annually.

Company

Build intelligent engineering systems that combine multidisciplinary human expertise with proprietary AI models generating architectures across software, electronics, mechanics, and applied physics.

What you will do

• Build scalable data and analytics platforms, including data stores, warehouses, and RAG pipelines for AI systems and advanced reasoning models.
• Partner with AI Engineers to design, implement, and test AI reasoning solutions using proprietary ontologies, algorithms, public tools, and data.
• Develop dashboards and analytics solutions and mentor engineers on data engineering best practices.
• Improve quality assurance and data ingestion through new tools and frameworks.
• Collaborate with AI Engineers, Product Managers, Chief Officers, and Software Teams to integrate AI features into user-facing products.

Requirements

• University degree in Computer Science, Software Engineering, Data Science/Engineering, or a related discipline, plus 4+ years of experience in agile development projects.
• Experience with data engineering for ML/AI production deployment or MLOps using Azure, AWS, and/or GCP.
• Experience designing data-platform and data-processing-pipeline architectures, including batch and real-time streaming solutions with tools such as PySpark or Kafka.
• Experience with data warehousing services such as AWS Redshift or Snowflake, LLM data stores, SQL/no-SQL tools, and data management processes.
• Strong analytical and problem-solving skills, comfort with ambiguity, and adaptability to rapid changes in early-stage product development.
• Excellent verbal and written communication skills in English and the ability to collaborate across multidisciplinary teams.

Nice to have

• Expertise with AI tools and LLM providers, advanced RAG pipelines such as GraphRAG, agents/MCP, multi-agent architectures, ML model training, LLM fine-tuning, RLHF, and LLM-as-a-judge metrics.
• Experience working on customer-facing products and research projects in multidisciplinary environments.

Culture & Benefits

• Full-time employment with a remote work arrangement.
• Medical, dental, and vision insurance, mental-health support through OpenUp, and optional benefits.
• 401(k) plan with company match based on level.
• Annual performance and progression reviews, performance-based compensation adjustments, and an individual learning and development budget.
• Generous paid time off, WeWork day-pass access, and a travel budget for collaboration at the Munich headquarters and company events.