
BizOps Developer (Agentic AI)
Skills & requirements
About the role
About the Role
eToro is seeking a BizOps Developer to design, build, and deploy production-grade AI systems and agentic applications that enhance operational efficiency and automation across the organization. This hands-on engineering role operates at the intersection of AI engineering, full-stack development, and business operations, working closely with Squad Leads, Product Managers, and business stakeholders.
Key Responsibilities
Design and deploy AI agents and applications end-to-end, from concept to production
Develop RAG pipelines including data ingestion, embeddings, retrieval, and LLM orchestration
Implement agentic workflows with tool-calling, structured outputs, and multi-step reasoning systems
Build backend services and APIs that integrate with internal systems such as CRM, databases, and third-party tools
Contribute to frontend and internal tools embedding AI into operational workflows
Work with structured, unstructured, and vectorized data to support intelligent automation
Monitor and optimize systems for reliability, scalability, and cost efficiency
Collaborate with cross-functional teams to translate business requirements into practical solutions
Requirements
2+ years of software engineering experience in full-stack or backend development
Hands-on experience building or contributing to production AI and LLM-based systems
Proven experience with RAG systems, embeddings, and retrieval pipelines
Familiarity with agent frameworks such as LangChain, LangGraph, or Semantic Kernel
Strong backend development skills with APIs and service integrations
Experience with cloud environments, preferably Azure
Understanding of system design fundamentals including scalability and observability
Strong problem-solving abilities and experience in fast-paced environments
Excellent communication and cross-functional collaboration skills