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 simply and transparently. 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 is 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

We’re hiring a BizOps AI Developer to build AI-powered operational systems and agentic applications that improve efficiency, automation, and decision-making across the organization.

This is a hands-on engineering role where you will design, build, and ship production-grade AI systems - working closely with a Squad Lead, Product Managers, and business stakeholders.

You will operate at the intersection of AI engineering, full-stack development, and business operations, developing scalable AI capabilities that integrate directly into internal tools and workflows.


What will you be doing?

  • Design, build, and deploy AI agents and applications end-to-end
  • Develop RAG pipelines, including data ingestion, embeddings, retrieval, and LLM orchestration
  • Implement agentic workflows, including tool-calling, structured outputs, and multi-step reasoning systems
  • Build backend services, APIs, and integrations with internal systems (CRM, databases, third-party tools)
  • Contribute to frontend/internal tools that embed AI into operational workflows
  • Work with structured, unstructured, and vectorized data to support intelligent automation
  • Improve system performance through evaluation, testing, and iteration
  • Monitor and optimize systems for reliability, scalability, and cost efficiency
  • Collaborate closely with product and business stakeholders to translate requirements into practical solutions
  • Contribute to shared AI infrastructure and reusable components across teams

Requirements

  • 2+ years of software engineering experience (full-stack or backend-focused)
  • Hands-on experience building or contributing to production AI / LLM-based systems
  • Experience with RAG systems, embeddings, and retrieval pipelines
  • Familiarity with agent frameworks such as LangChain, LangGraph, Semantic Kernel, or similar
  • Experience with tool calling, structured outputs, and workflow orchestration
  • Strong backend development skills (APIs, services, integrations)
  • Experience with modern AI-native dev tools (e.g., Cursor, Claude Code, or similar workflows)
  • Familiarity with cloud environments (Azure preferred)
  • Understanding of system design fundamentals (scalability, reliability, observability)
  • Strong problem-solving skills and ability to work in fast-paced environments
  • Good communication skills and ability to collaborate with cross-functional teams


Nice to Have

  • Experience with multi-agent systems or advanced orchestration patterns
  • Familiarity with evaluation frameworks for LLM systems (testing, benchmarking, quality metrics)
  • Experience with vector databases and large-scale data pipelines
  • Exposure to BizOps, operations, or process automation domains
  • Experience building internal tools or platforms
  • Familiarity with event-driven or distributed systems


Why Join Us?

At eToro, you’ll build AI systems that directly impact how the business operates.

You and your team will deliver solutions that:

  • Automate and scale operational workflows
  • Improve decision-making with intelligent systems
  • Enable reusable AI platforms across departments
  • Drive measurable efficiency and business impact

This is an opportunity to shape how AI transforms operations at scale, while staying deeply hands-on with the latest agentic technologies.

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