eToro is hiring a BizOps Developer (Agentic AI) in COO 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 simply and transparently.
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
Experience and skills the team lists as 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
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?
What the posting highlights about the offer:
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.
Build a standout application
For the BizOps Developer (Agentic AI) 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.