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.
At our Israeli site, we follow a hybrid work model with 3 days in the office and 2 days from home
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
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
Other Qualifications
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
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.
Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
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