LLM Engineer - Paradox
At a glance
Mid-level AI Engineering role at Workday. Israel, Tel Aviv · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Research and test LLM approaches, then use promising findings to build hiring agents for clients
- Turn LLM research into scalable, client-facing applications that address hiring needs
- Build evaluation methods to compare AI models, settings and techniques before integrating them
- Iterate on products using client feedback and lean methods, making focused software decisions around product challenges
What you bring
- At least four years of hands-on work in data science or machine learning
- You have built agents and other products powered by large language models
- You bring Python skills, LLM evaluation experience and familiarity with modern AI development tools
- You know current LLM methods such as RAG or MCPs, and can communicate fluently in written and spoken English
- You are authorized to work in Israel
Who this fits
This role suits an engineer who enjoys researching LLMs and applying them to products, with ownership and quick iteration. The role is based at the Tel-Aviv R&D center and follows a hybrid schedule: three days in the office and two at home.
From the employer
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.
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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