LLM Engineer

Responsibilities

• 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.

Requirements

• 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.
• As part of Workday, we are laser-focused on building world-class products—backed by a decade of leadership in Conversational AI.
• We combine our historical data advantage with advanced LLM capabilities to directly influence the hiring experiences of millions of candidates worldwide.
• Deeply understand product challenges to make intelligent and efficient software-building decisions. About You Basic
• experience in Data Science/ML 2+ years
• experience developing agents and other LLM-based products Proven experience with Python.
• Experience with LLM evaluations
• Experience developing with modern AI tools (Cursor/Copilot/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 Other
• Qualifications: Bachelor’s Degree in Computer Science or other relevant fields, advantage for a M.Sc.
• Experience with Conversational AI
• Experience in Data Science or MLOps
• Experience in software architecture design
• Experience in a cloud-based environment and CI/CD flows Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote.

Experience