AI Engineer

Description eToro is the trading and investing platform that empowers users to invest, share and learn. We were founded in 2007 with the vision of a world where everyone can trade and invest in a simple and transparent way. We have created an investment platform that is built around collaboration and investor education. On our platform, users can view other investors’ portfolios and statistics, and interact with them to exchange ideas, discuss strategies and benefit from shared knowledge. We have 40 million registered users from 75 countries and our platform is available in 20 languages. eToro is an innovative, fast growing business and listed on Nasdaq in May 2025. We have over 1,500 employees across more than 10 offices around the globe, strategically positioned to serve the needs of users. You can find out more about eToro here. Role Summary Join a strategic, company level team redefining the future of software engineering at eToro. We are building a greenfield, AI native infrastructure from the ground up, moving away from legacy systems to create a modern stack that scales AI driven efficiency across the entire organization. This is a cross-functional role focused on empowering engineering groups through reusable platforms, automation, and AI-first developer tooling. Key Responsibilities Architect & Build: Design AI first internal platforms and developer tools from concept to production. Scale AI Strategy: Set standards and best practices for AI assisted development across the company. Partner & Empower: Collaborate with engineering teams to integrate AI capabilities into their specific workflows. Rapid Delivery: Prototype, validate, and productionize robust solutions with measurable impact. Automation Lead: Identify and implement end-to-end automation for engineering and business operations. Tech Evolution: Continuously evaluate and adopt emerging AI tools and frameworks. Requirements Experience: 5+ years in software engineering (Backend/Frontend) with a track record of shipping production-grade software. Systems Thinking: Ability to turn ambiguous goals into scalable architectures and repeatable workflows. AI-Native Mindset: You use AI as your primary accelerator (ideally 80%–100% of your code is AI-assisted) while ensuring security and maintainability. AI Tooling: Experience building tools like MCP, Agents, Skills, or internal automation frameworks. Operational Excellence: Practical experience with AI evaluation loops, monitoring, and guardrails. Full Ownership: Ability to own solutions end-to-end (Design → Deployment → Observability). Technical Qualifications & Preferences Backend/Frontend: Proficiency in building scalable services or high-quality client architectures. Tech Stack (Preferred): C#/.NET Core, TypeScript, React Native. Infrastructure: Kubernetes, Microsoft Azure. Automation: Experience with platforms like n8n. Design: Strong background in high availability and reliability patterns. What Success Looks Like You will be successful if you deliver agent-native systems that become the foundation of how eToro builds software, creating compounding efficiency gains and enabling teams to innovate independently through your tools and standards.