Software Engineering Team Lead

Build the AI platform that some of the world's largest banks and fintechs trust to stay compliant — at scale, in production, every day. Sedric Labs processes millions of interactions and terabytes of marketing assets daily, running AI rules against hundreds of customer-defined compliance policies in real time. The engineer who built this foundation is moving on after five great years. We're looking for the person who takes it to the next level. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. Why is this role a rare opportunity? You won't just be building for scale — you'll be engineering an enterprise-grade AI platform trusted by some of the largest banks and fintechs in the world. That means building guardrails, change management processes, and procedures alongside SMEs whose standards are set by global financial regulators. 99% accuracy isn't a stretch goal. It's the bar. And you'll use the most advanced AI tooling available to get there — at low cost, high throughput, in production. This position reports to the Head of R&D and is based out of our Tel Aviv offices (hybrid model).

Requirements: You’re a fit if you… • Have 3+ years leading engineers — you know the difference between managing and leading • Have 5+ years hands-on backend engineering and you still write code in (Python/Node advantage) • Have 5+ years experience working in B2B SaaS environment and can demonstrate a strong understanding of Product • Have experience with Databases & Data Tools (PostgreSQL, DynamoDB, Amazon S3, Amazon SQS, Apache Airflow) • Are hands-on with the modern LLM stack: prompt engineering, fine-tuning, RAG, evaluation frameworks, and inference infrastructure • Have strong cloud-native background (AWS / GCP /Azure) — you've operated distributed systems in production, not just on paper • Have shipped high-scale, low-latency production systems and own the tradeoffs • Are a data pipeline native — you think in flows, volumes, and efficiency • Have built cloud-native systems in production, not just on paper • Hold a CS or Computer Engineering degree • Are energized by the startup pace • Adapt to changes quickly and know how to create clarity out of ambiguity You’re probably not a fit if you… • Have never worked at a SaaS startup — the ownership model here will feel disorienting • Your cloud experience is theoretical — this role requires someone who has operated cloud-native systems in production • Don’t feel comfortable giving feedback and raising the standards in your team • See development as disconnected from Product and business • Need a defined playbook before you move