AI Analytics Engineer
Core
Design, build, and ship AI agents and data pipelines to automate high-friction workflows for an embedded finance team, delivering measurable business impact.
Role type
Senior AI Analytics Engineer (AI Agent & Data Pipeline)
Builds
Production-ready AI agents, self-serve data operations models, and automated data pipelines
Domain
Fintech / Embedded Finance / Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, AI-assisted development, data modeling, ELT/ETL orchestration, data warehouse management, AI-native querying, business problem translation, documentation for AI replication
Preferred skills
Experience with Claude Code or LiteLLM, anomaly detection, autonomous delivery in ambiguous environments
Technologies
dbt, Airflow, BigQuery, Snowflake, Redshift, Databricks, Claude Code, LiteLLM
Responsibilities
Identify high-friction workflows and iterate AI agents to stable production deployment; Create end-to-end documentation for self-serve operations; Produce prioritized opportunity backlogs via stakeholder discovery; Continuously monitor agent performance and implement improvements
Seniority
Senior, hands-on IC