Comply is seeking a Senior AI Data Engineer to implement and operationalize its semantic layer, working at the intersection of knowledge representation, AI infrastructure, and data platform engineering. The ideal candidate will have hands-on experience in data engineering, knowledge graphs, vector databases, and LLM-integrated data pipelines.
Requirements
- Strong hands-on experience in data engineering, with a focus on semantic or AI data infrastructure
- Experience building and operating knowledge graphs or graph databases
- Experience with vector databases and embedding pipelines
- Practical experience implementing RAG architectures or LLM-integrated data pipelines
- Familiarity with semantic web standards — JSON-LD, RDF, OWL, or SKOS
- Strong Python skills and experience with data pipeline frameworks
- Experience with cloud-native data platforms (AWS, Azure, or GCP)
- Experience working directly with ontologists or knowledge engineers is a plus
- Familiarity with data contracts and data product frameworks is a plus
- Experience with DataOps tooling, data reliability, or data observability platforms is desirable
Benefits
- Comprehensive health insurance
- 401k matching
- Paid time off
- Flexible working hours
- Professional development opportunities
- Employee recognition and reward program
