AI Engineer

Description Cymbio (Acquired by PayPal) is a leading orchestration platform that provides a seamless, one-to-many connection for merchants to be discoverable and purchasable across agentic commerce surfaces like Co-Pilot and Perplexity, as well as marketplaces and dropship retailers, including Nordstrom, Macy’s, and TikTok. Now a proud part of PayPal, we eliminate the need for complex point-to-point integrations and manual work, slashing time-to-live from months to days. Global brands like Balmain, New Balance, and Fabletics rely on Cymbio to automate and syndicate their product, inventory, and pricing feeds, while effortlessly orchestrating orders and returns across hundreds of surfaces globally. Based in Tel Aviv, our growing team of CymStars is actively shaping the future of AI-driven retail, and we’re looking for top talent to join us in scaling this exciting next chapter. We are looking for an AI Engineer with experience developing AI Agents, building AI-Powered services, integrating LLMs, and delivering high-quality backend infrastructure in NodeJS/Python. Responsibilities Design, build, and deploy AI-powered services, including LLM integrations, AI agents, and LangChain pipelines, to support Cymbio’s marketplace automation platform. Develop backend services in Node.js, Python & Spark, integrating AI workflows with APIs, databases, and serverless environments. Take ownership of the end-to-end AI service lifecycle — from development and deployment to monitoring and retraining. Ensure code quality and maintainability through adherence to best practices, regular code reviews, and the use of automated testing frameworks. Collaborate closely with product, data, and infrastructure teams to embed AI capabilities seamlessly into production systems. Mentor and support junior team members, sharing AI/ML and engineering best practices. Requirements Proven experience developing AI agents, AI services, and LLM integrations. Strong hands-on expertise in Node.js / Python (5+ years). Proficiency with SQL/NoSQL & AWS Experience with queuing mechanisms, caching, and Docker. Experience with LangChain/LangGraph and building multi-step AI workflows. Background in large-scale, production-ready backend systems. Strong understanding of design patterns, system architecture, and testing principles. Ability to explain complex technical solutions to both technical and non-technical stakeholders. Fluent English (written & spoken). A collaborative team player with a can-do attitude. A team player with a can-do attitude. Nice to have: Prior team-leader experience. E-commerce experience is a significant advantage.