eToro is hiring a AI Software Engineer in Solutions Group — Limassol, Cyprus. The overview below is synthesized from the employer posting on etoro.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Description
Please take note: This is position is based in Limassol, Cyprus with an in-office and hybrid set up. Remote set up is not possible.
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 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.
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.
Key Responsibilities
Day-to-day scope for the AI Software Engineer as described in the posting:
- 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 and skills the team lists as required:
- 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.
Build a standout application
For the AI Software Engineer at eToro, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it. Add links to public work, keep formatting scannable, and close with a clear ask. Hiring managers skim — make impact obvious in the first half-page.
Career growth in Web3 rewards continuous learning. Follow protocol changelogs, practice with testnets, and contribute to open issues. Small, consistent contributions compound into credibility more than one-off credentials.