eToro is hiring a BizOps Developer (Agentic AI) in COO Group (Limassol, Cyprus).

Description

Role location and working style

This is position is based in Limassol, Cyprus with an in-office and hybrid set up. Remote set up is not possible.

About eToro

eToro is the platform where you can trade, invest, save, and spend. Founded in 2007 with the vision of a world where everyone can trade and invest in a simple and transparent way, we've built a regulated, Nasdaq-listed platform used by millions of people in 75 countries.

We believe there is power in shared knowledge. By combining the collective intelligence of our community with AI-powered tools, we've created a collaborative investment community designed to help you grow your knowledge and wealth.

On eToro, you can hold a range of traditional and innovative assets and choose how you invest: trade directly, invest in a portfolio, copy other investors, or invest with an AI agent. Visit our Media Centre for the latest news.

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

Qualifications & 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

Preferred / Nice-to-Have Qualifications

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

Our Hiring Philosophy:

At eToro, AI is changing how we build, work and make decisions, and our hiring approach reflects that. We are building an AI-first organisation where people are encouraged to use AI thoughtfully.

That starts with how we hire. Throughout our recruitment process, we may use AI-enabled tools, including interview notetakers and other technologies that help us capture information accurately, improve consistency and create a better experience for candidates and interviewers. These tools support our feedback and assessment outcomes. Hiring decisions remain grounded in running fair and consistent interview processes, human judgement, critical thinking, and thorough evaluation of experience, ability and motivation that are aligned to our business and role requirements.

We also want candidates to be comfortable working with AI. Depending on the role, we may explore how you use AI tools in your day-to-day work, how you think about their opportunities and limitations, and how you would contribute to eToro's continued AI build-out.

For us, being AI-first is not about replacing human judgement. It is about combining human expertise, creativity and accountability with technology that helps us do our best work and accelerate our growth. In the end, that's what we're hiring for: human insight, supercharged by AI.