Senior Software Engineer (AI Fluent)

Другое

• Founded in 2005, Company is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
• By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
• Principal Engineer (AI Fluent)  
• About Company  
• Founded in 2005, Company is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world ,  working to serve customers, and partners in over 190 countries and territories.  
• By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.    
• Role summary   
• Ramat Hasharon,  Herzliya .  
• Hybrid    Full-time   
• We are looking for an engineer who can take ownership of a solution from understanding the business problem through production delivery and continuous improvement.  
• AI-assisted development tools are a core part of how you work. You use them daily, critically, and effectively to improve the quality and speed of software delivery.  
• You will report to a Domain Architect and work closely with senior engineering, product, and business leaders on AI initiatives and other high-impact challenges.  
• You will contribute across the full lifecycle: problem definition, solution design, implementation, evaluation, deployment, monitoring, and production support.  
•  
• What you’ll do   
• Own the full loop - understand the problem, define the solution, architect it, ship it, monitor it. No one hands you a spec  
• Build with AI as your primary tool - Claude Code, Cursor, whatever gives the most leverage; do in a day what used to take a team a week  
• Co-design with stakeholders and the business - decision logic, risk thresholds, success metrics  
• Build the evaluation harness before you ship - if you can’t measure it, it’s not done  
• Own production from day one - monitoring, alerting, observability; you’re on call for what you build  
• Raise the bar - in design reviews, in code, and in how the team works  
•  
• Who you are   
• Engineering  
• At least 7 years of experience as a backend engineer  
• Experience shipping production AI systems - running them in the real world and fixing what breaks, not just building them  
• Understanding of agentic architectures - orchestration, multi-step workflows, fallback and error logic  
• Strong eval instincts - you define metrics, build test sets, and don’t ship until you can measure  
• Full-stack range - comfortable across the prompt, RAG pipeline, orchestrator, and backend  
• Comfortable across any stack - you go where the right solution is  
• Honest communication - you flag problems early and give direct, candid feedback  
• You understand production concerns such as reliability, maintainability, security, observability, latency, and cost.  
• AI fluency  
• Real fluency with AI coding tools - genuinely fast, not just "familiar with"  
• Think in workflows, not endpoints - agentic loops, skills, and orchestrated flows; CRUD with an LLM bolted on isn’t a system  
• Clear judgment about when to trust AI output and when to rewrite it  
• Goes beyond using AI - builds skills, workflows, and harnesses, not just prompts  
• You understand common AI-system risks such as hallucinations, prompt injection, data leakage, unreliable tool execution, and uncontrolled autonomy.  
• Good to have  
• Fintech or regulated-environment experience - understanding why "probably fine" isn’t acceptable when money is moving  
•  
• What could set you apart   
• Builder’s itch.  When you see a repetitive task or a problem the team has accepted as "too hard to fix," you come back with a working prototype. Watching people do manually what a system could do doesn’t sit right with you.  
• Grounded confidence.  You move forward with incomplete information, make a call, own it. When you’re wrong, you update and move on - no drama, no ego.  
• Production instinct.  When you design, you’re already thinking about 2am incidents, runaway inference costs, and edge cases that surface when real money is moving. "Probably fine" isn’t a risk posture.  
• Curious and adaptive.  You explore new models and tools before anyone tells you to, run the experiment, and help create the best practices that don’t exist yet.  
•  
• Why join us  
• Real problems at scale - 25M+ customers in 190+ countries depend on these systems; the stakes are real  
• You help define the methodology - early-stage work at Company; you won’t inherit a playbook, you’ll write it  
• Work directly with senior architects, engineers, product leaders, and business stakeholders.  
• Build solutions for challenging real-world problems where reliability, security, and measurable outcomes matter.  
•  
• #LI-LF1  
• The Company Ways of Working  
• Act as our customer’s partner on the inside  
• Learning what they need and creating what will help them go further.  
• Continuously improve  
• Always striving for a higher standard than our last.  
• Do it. Own it.