- Build and own analyst agents end to end that translate natural-language business questions into governed SQL.
- Develop customer-facing agents with intent triage, RAG, and strict escalation logic integrated with CRM/helpdesk platforms.
- Build the risk-stratified tool layer between agents and back-office APIs to harden against adversarial inputs.
- Productionise models for churn, risk scoring, and fraud detection with automated retraining paths.
- Codify business rules into auditable policies and perform backtesting against historical data.
- Build supervisor surfaces and approval dashboards to expose agent reasoning chains and performance metrics.
PythonSQLMachine Learning+4 more