LLM Engineer at Workday

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, LLM Evaluations, Conversational AI, Software Architecture Design, Cloud-Based Environment, CI/CD Flows, Modern AI Tools, Advanced LLM Practices, MLOps, Research, Innovation, Problem Solving, Collaboration, Communication

Industry

Software Development

Description

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. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email 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. 🌟 Join Our Talent Community here! Stay connected with Workday: Get the latest news & content Be first to hear about new roles Never miss an opportunity 🌐 Career Site 💡 Benefits 🌟 Join Our Talent Community 📰 Workday Life Blog 🤝 Inclusion and Belonging 📄 Application and Interview Tips 🎓 Early Careers / Internships 📋Contractor Job Site 👩‍💻 Engineering, but brighter. 💼 Sales, but brighter. 🤝 CX & Consulting, but brighter. Visit our Career Site here. Read more below to learn more on our stance on being a proud equal opportunity workplace, pay transparency and accommodation support. Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. You may view the Workday's Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links. Workday is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process. If you need assistance or an accommodation due to a disability or for religious reasons, contact us at accommodations@workday.com.

Responsibilities

As an LLM Engineer, you will develop and implement cutting-edge Large Language Model technologies to create innovative hiring agents. You will research LLM technologies, implement applications, design evaluation frameworks, and adopt lean methodologies to meet business objectives.