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Senior Backend Engineer - Python
Job Description
This position is part of the Loris team. Loris is at an exciting inflection point following its recent acquisition by Contentsquare, we’re scaling our Israeli R&D hub and expanding our impact across the customer experience analytics space. Our technology combines proprietary AI with cutting-edge LLMs to help the world’s leading brands understand and improve every customer interaction, from uncovering intent and sentiment to identifying opportunities for growth and efficiency.You’ll be joining a small, highly skilled team of experienced engineers who thrive on solving hard problems and owning them end-to-end. We work in tight, product-focused squads and operate with a culture of deep ownership, autonomy, and technical excellence. This is a rare opportunity to shape meaningful systems at the intersection of SaaS, data, and AI - using both in-house models and state-of-the-art LLMs - and see your work deliver direct impact to customers.
We’re hiring experienced Backend Engineers to help scale the Loris platform as we grow our data and product capabilities.
What you'll do
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.
Collaborate with cross-functional teams to define requirements and deliver high-quality, scalable systems.
Write clean, maintainable code and participate in design reviews and architecture discussions.
Monitor production environments, debug complex issues, and drive performance improvements.
What We’re Looking For
Nice to have
