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 Squad Lead to build and lead a high-impact engineering squad focused on AI-powered operational systems and agentic applications.
This is a hands-on leadership role where you will own the end-to-end delivery of AI solutions - from discovery and architecture to production rollout and adoption. You will design and build scalable AI agents, internal platforms, and automation systems that enhance decision-making, streamline operations, and unlock efficiency across the organization.
You will operate at the intersection of AI engineering, full-stack development, and business operations, partnering closely with Product and Ops stakeholders while actively contributing to code, architecture, and technical direction.
What will you be doing?
- Lead a small squad (2 BizOps Developers) delivering agentic AI solutions for BizOps and operational domains
- Own end-to-end delivery: problem discovery, solution design, implementation, evaluation, and rollout
- Design and build AI agents and applications, including RAG pipelines, tool-calling systems, and multi-agent workflows
- Define and drive technical direction for; Agent frameworks and orchestration patterns, RAG architecture and data pipelines, and Evaluation frameworks, quality metrics, and benchmarking
- Establish best practices for reliability and quality for; Testing and evaluation (accuracy, regression, guardrails), and Monitoring, observability, and continuous improvement
- Build full-stack systems (APIs, backend services, and user-facing tools) that integrate AI into daily operations
- Integrate with internal systems (CRM, data platforms, third-party tools) to enable automation and decision intelligence
- Partner closely with business stakeholders to prioritize use cases, define requirements, and drive adoption
- Act as a hands-on technical leader: contribute code, review implementations, and guide architecture decisions
- Mentor and unblock engineers while maintaining high engineering standards and velocity
- 5+ years of software engineering experience (full-stack with strong backend focus preferred)
- Proven track record of building and shipping production-grade AI systems
- Hands-on experience with agentic architectures, including: RAG systems, Tool calling and orchestration, Multi-agent workflows, Structured outputs, memory, and workflow management
- Strong experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
- Solid understanding of evaluation methodologies for LLM systems: Accuracy/quality measurement, Regression testing and benchmarking, Defining acceptance criteria
- Experience with modern AI-native development workflows (e.g., Cursor, Claude Code, rapid iteration environments)
- Strong full-stack engineering skills (APIs, backend services, and modern frontend development)
- Experience with cloud platforms (Azure preferred) and scalable system design
- Familiarity with vector databases, embeddings, and data pipelines
- Ability to operate in ambiguous, fast-moving environments and make pragmatic trade-offs
- Strong communication skills - able to translate business needs into technical solutions and align stakeholders
Nice to Have
- Prior experience in a technical leadership or squad lead role
- Experience building systems in regulated or high-accuracy environments
- Experience driving adoption of internal tools/platforms (training, documentation, change management)
- Familiarity with multi-agent architectures, workflow engines, and guardrail systems
- Background in BizOps, operations, or process automation domains
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
- 5+ years software engineering experience
- Full-stack engineering skills with strong backend focus
- Proven track record of building and shipping production-grade AI systems
- Hands-on experience with agentic architectures (RAG, tool calling, orchestration, multi-agent workflows, structured outputs, memory, workflow management)
- Strong experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
- Understanding of LLM evaluation methodologies, regression testing, benchmarking, and acceptance criteria
- Experience with AI-native development workflows (e.g., Cursor, Claude Code)
- Experience with cloud platforms and scalable system design
- Azure experience (preferred)
- Familiarity with vector databases, embeddings, and data pipelines
- Ability to operate in ambiguous, fast-moving environments and make pragmatic trade-offs
- Strong communication skills to translate business needs into technical solutions
- Prior technical leadership or squad lead experience
- Experience in regulated or high-accuracy environments
- Experience driving adoption of internal tools/platforms (training, documentation, change management)
- Background in BizOps, operations, or process automation domains
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).
