LLM Engineer - Paradox

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

• Dive deep into LLM technologies, actively researching and experimenting with new solutions to drive innovation in hiring practices.

• Implement practical applications of LLM research findings into end-user-facing applications, creating scalable and impactful tools that directly impact clients.

• Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques

• Adopt lean methodologies to swiftly meet business objectives, swiftly iterating based on client feedback and being unafraid to take risks and learn from failures.

• Deeply understand product challenges to make intelligent and efficient software-building decisions.

• 4+ years of hands-on experience in Data Science/ML
• Proven experience in developing agents and other LLM-based products
• Experience with Python.
• Experience with LLM evaluations
• Experience developing with modern AI tools (Cursor/Claude Code/Codex/etc.)
• Advanced knowledge of modern LLM practices (RAG/MCPs/etc.)
• Passion for learning, staying current with innovative technologies, and thriving in a fast-paced, high-ownership environment
• Fluent in English, including both written and verbal communication
• Authorization to work in Israel

• Bachelor’s Degree in Computer Science or other relevant fields, advantage for a M.Sc.
• Experience with Conversational AI
• Experience in software architecture design
• Experience in a cloud-based environment and CI/CD flows

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