LLM Engineer

Your work days are brighter here. 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. About the Team At Paradox, we believe when you get the people thing right, you can build teams that change the world. As part of Workday, we are laser-focused on building world-class products—backed by a decade of leadership in Conversational AI. Our Tel-Aviv R&D center is where deep experience meets next-generation technology. We aren't just experimenting with Large Language Models; we are deploying them at an unmatched global scale. We combine our historical data advantage with advanced LLM capabilities to directly influence the hiring experiences of millions of candidates worldwide. Sound like your perfect fit? We want to hear from you! About the Role As an LLM Engineer, you will be responsible for developing and implementing cutting-edge Large Language Model (LLM) technologies to create innovative hiring agents for Paradox’s global clients. In this role, you will: 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. About You Basic Qualifications: 4+ years of hands-on 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 LLM evaluations 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. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. accommodations@workday.com. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.