Additional details:
You'll design the architecture that lets AI run compliance at scale.
Sedric is the AI compliance platform for financial services. 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.
AI isnt a feature at Sedric - its the product. Every agent, LLM flow, and retrieval pipeline that runs a customers compliance program runs on backend systems someone has to design, build, and keep fast, accurate, and cost-efficient at scale.
Were looking for a hands-on AI Engineer who designs those systems and writes the code. Youll own the architecture of our AI backend end to end, ship it to production, monitor how it performs with real customers, and raise the bar for the engineers around you through code reviews, design reviews, and mentoring.
The mission?
We're at an inflection point. Enterprise financial services clients are signing on, and they need more than a product - they need a platform. That means a unified LLM strategy, an architecture that scales, and an R&D org that moves with the same urgency as the business.
This role reports to the AI team Dev team lead and is based in Tel Aviv (hybrid model).
This is a hands-on engineering role. Its not a research position and not a people-management role. Youll spend most of your time designing and building production systems.
Requirements: You're a fit if
You have 5+ years of ML/AI architecture experience in a SaaS company 3+ backend development experience You bring both the technical depth and the leadership range this role demands. You've built agentic systems with tool use, planning, and multi-step reasoning in production, not just in a notebook You've set up AI governance and evaluation harnesses from scratch You have proven, hands-on experience with AI in production systems You can take a project from concept to shipped and interface with stakeholders the whole way You hold a relevant degree; an advanced degree in CS, ML, Statistics, or a related field is a plus You're comfortable in front of customers and executives, translating technical tradeoffs into business terms?You're probably not a fit if
You want to execute against someone else's architecture, not design your own You'd rather avoid customer or stakeholder conversations than lead them You think about the technology and skip the business context it lives in You need long runway before shipping - this role moves fast and mixes design with execution You want a playbook handed to you rather than writing the first one
This position is open to all candidates.