Senior Backend Engineer

About Loris

Loris is at an exciting inflection point. Following our 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.

What You’ll Do

• Be part of a focused product squad, working closely with a product manager, designer, and data scientist to ship features that make our clients happy
• Design, build, and maintain backend services and APIs that power Loris’s conversation intelligence platform
• Collaborate with teammates to deliver high-quality, scalable features that are tightly aligned with user needs
• Integrate machine learning models into production, ensuring they are reliable, performant, and easy to update
• Contribute to architectural decisions and system design as we scale usage and capabilities
• Write clean, maintainable code and participate in code reviews and technical design discussions
• Monitor production systems, investigate and resolve issues, and drive performance improvements

What We’re Looking For

• 7+ years of backend engineering experience in production systems
• Proficiency in Python (Django, FastAPI, Flask, or similar frameworks)
• Solid understanding of cloud infrastructure (preferably AWS) and containerized environments (Docker, Kubernetes)
• Comfort working with databases (both SQL and NoSQL)
• Strong focus on performance, observability, and writing high-quality production-grade code
• A product mindset, you care about the “why,” not just the “how.” You balance technical excellence and delivery
• Advantage: experience with ML/AI systems, working with LLMs, or building data/analytics pipelines