21 days ago
Herẕliyya, IsraelStaff+
Responsibilities
- Define and evolve the target architecture for CLM backend systems and align it with the AI-driven KYC strategy.
- Solve high-stakes technical problems spanning multiple crews, services, and domains.
- Establish engineering standards through design reviews, coding practices, and architectural guidance.
- Architect AI capabilities using LLM integration, RAG, agentic workflows, evaluation systems, AI tools, agents, and MCPs.
- Design orchestrator and agent patterns with modular interfaces for OCR, authenticity, comparison, and online validation.
- Enable safe integration between cloud and on-premises services.
- Drive adoption of MCP and agent-based architectures where they provide business or engineering value.
- Modernize systems using .NET, Kubernetes, AWS, service migration, observability, automated testing, and DevOps practices.
- Mentor architects, team leads, and senior engineers and influence technical strategy without direct authority.
- Translate business, product, and regulatory requirements into scalable technical designs.
- Remain hands-on in coding and design while advising engineering and product leadership.
Requirements
- Extensive software development experience operating at a senior individual-contributor or principal level and leading designs across teams.
- Deep distributed-systems expertise including consistency, availability, fault tolerance, concurrency, distributed transactions, messaging, event-driven architecture, SAGA, error tolerance, zero-data-loss concepts, and scale.
- Hands-on experience with a major cloud provider, preferably AWS, including production workloads and Kubernetes-based container orchestration.
- Experience architecting AI-enabled systems with LLM integration, RAG, agentic or multi-step workflows, evaluation systems, and production considerations such as latency, cost, fallback, and hallucination control.
- Daily hands-on use of AI coding tools, including configuring custom instructions, rules, MCPs, tools, workflows, and skills.
- Ability to turn ambiguous, complex problems into reliable and scalable production systems.
- Strong product mindset and ability to balance technical excellence with business outcomes.
- Excellent communication, cross-organizational influence, and demonstrated mentorship of senior engineers, technical leads, and architects.
- Financial services, fintech, KYC, identity, compliance, licensing, or other regulated-domain experience is advantageous.
- Experience integrating cloud services with on-premises or enterprise systems through gateways or brokered connectivity is advantageous.
- Hands-on backend experience with .NET/C# and/or TypeScript/Node.js is advantageous.
- Big-data or NoSQL experience and familiarity with SQL Server are advantageous.
Benefits
- Hybrid, full-time role based in Ramat Hasharon, Israel.
- Opportunity to work on globally scaled technology in a regulated domain and shape AI-first engineering practices.
- Mentorship and technical leadership opportunities across engineering crews.
- Payoneer states that it is an equal opportunity employer and provides reasonable accommodation through a case-by-case process.
Tech Stack
Categories
About Payoneer
Payoneer builds a global B2B payments platform for SMBs, marketplaces, and freelancers to send, receive, and manage cross-border funds. Products include multi-currency accounts, mass payouts, and global bank transfers, monetized via transaction and FX fees. Founded in 2005 and headquartered in New York, it operates in 190+ countries and is a public company listed on NASDAQ.