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
- 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.
Skills Required
- 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
- 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
What We Do
eToro is a multi-asset platform which offers both investing in stocks and digital assets, as well as trading CFDs. Please note that CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 67% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work, and whether you can afford to take the high risk of losing your money. In the US, eToro only offers cryptoassests, no CFDs, and plans to expand its offering in the near future. eToro USA LLC; Investments are subject to market risk, including the possible loss of principal. Archived, "Virtual currencies are highly volatile. Your capital is at risk.” eToro AUS Capital Limited ABN 66 612 791 803 AFSL 491139. OTC Derivatives are leveraged financial products and considered risky. For clients with accounts under the Australian regulation: Real stocks are offered via a managed investment scheme. Interests are issued under ARSN 637 489 466 operated by Gleneagle Asset Management Limited ABN 29 103 162 278 AFSL 226199 and promoted by eToro AUS Capital Limited AFSL 491139. Your capital is at risk. Consider our Product Disclosure Statement (PDS).
