• Design, build, and maintain backend services and APIs that power Loris’s conversation intelligence platform. • Integrate machine learning models into production, ensuring they are reliable, performant, and easy to update. • Collaborate closely with product managers, designers, and data scientists to ship impactful, user-facing features. • Own the architecture, development, and maintenance of backend services that ingest and normalize data from external systems (e.g., Salesforce, Zendesk, Intercom, Five9). • Build resilient and scalable ETL/ELT pipelines for data ingestion and enrichment. • Stay current with API changes, rate limits, and other nuances of third-party platforms. • Write clean, maintainable code and participate in design reviews and architecture discussions. • Monitor production environments, debug complex issues, and drive performance improvements.