Principal Data & AI Engineer
EUR 70K-137K Senior-level Full Time
Tasks
- Apply metadata management and data cataloging
- Architect governed AI data platforms
- Build and operate structured and unstructured ingestion pipelines
- Build data transformation and serving pipelines for analytics and AI
- Build integrations across data lakes document stores and APIs
- Design and productionize RAG pipelines
- Design reusable data services and APIs for LLM applications
- Develop data models and data products for self service
- Engineer context collection with telemetry and evaluation loops
- Ensure security, privacy, and regulatory compliance
- Generate embeddings and build vector indexes
- Implement AI observability including lineage and performance monitoring
- Implement CI CD automated testing and infrastructure as code
- Implement LLM routing and evaluation gates
- Implement data quality lineage and SLAs
- Implement drift detection and re-embedding strategies
- Implement semantic search and chunking strategies
- Lead cross team delivery and architecture reviews
- Operationalize LLMOps and MLOps workflows
- Orchestrate multi agent workflows and context assembly pipelines
- Support responsible AI traceability transparency and auditability
- Translate business use cases into technical designs and mentor engineers
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Spark | Automated testing | BigQuery | CI/CD | DBT | Data Cataloging | Data Governance | Data Lineage | Data Modeling | Data Privacy | Databricks | Embeddings | Google Cloud | Infrastructure as Code | LLM Evaluation | LLMOps | MLOps | Microsoft Azure | Microsoft Fabric | Observability | Prompt engineering | Python | RAG | SQL | Scala | Semantic Search | Snowflake | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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