AI Data Engineer
Core
Build and manage large-scale ingestion pipelines, ETL, and data architecture for AI systems that uncover financial crime signals and criminal networks using knowledge graphs and OSINT.
Role type
Senior IC AI Data Engineer
Builds
Production ETL pipelines, data ingestion systems, and knowledge graph infrastructure for financial crime risk management.
Domain
Financial services / Anti-Money Laundering (AML) / Fraud Risk Management / Open-Source Intelligence (OSINT)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PostgreSQL, RDS, Spark/PySpark, AWS cloud management, knowledge-graph frameworks (Neo4j), ontology management, data fusion, agentic coding workflows, multi-agent testing
Preferred skills
Scala, large-scale data tooling, investigative product experience
Technologies
Python, PostgreSQL, RDS, Spark, PySpark, AWS, Neo4j, Claude Code, GPT/Codex, Cursor, Windsurf
Responsibilities
Drive data discovery and commercial data ingestion; Build and manage reliable ETL pipelines with performance tuning; Perform data quality assurance and independent testing; Work across structured/unstructured data parsing and ontology management; Manage data compliance and documentation.
Seniority
Senior, hands-on IC
