LLM Engineer

Reposted 4 Days Ago
Be an Early Applicant
Tel Aviv, ISR
In-Office
Mid level
Cloud • Fintech • HR Tech
The Role
As an LLM Engineer, you'll develop and implement Large Language Model technologies for innovative hiring solutions, driving research, application, evaluation, and product integration.
Summary Generated by Built In

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
[email protected].

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.

Skills Required

  • 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
  • Advanced knowledge of modern LLM practices
  • Fluent in English
  • Authorization to work in Israel
  • Bachelor's Degree in Computer Science or other relevant fields
  • 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

Workday Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workday and has not been reviewed or approved by Workday.

  • Healthcare Strength Health coverage is positioned as broad and well-supported, with multiple medical carrier options, virtual care access, and some locations offering onsite clinic/pharmacy services. Mental health support is described as notably strong, including therapy sessions and confidential support availability for household members.
  • Parental & Family Support Family-related benefits are portrayed as extensive, including paid bonding and caregiver leave alongside fertility, adoption, and surrogacy reimbursement. Added support like parenting resources, milk-shipping/lactation assistance during travel, and backup child/elder care is explicitly outlined.
  • Strong & Reliable Incentives Equity participation and savings-oriented programs are presented as meaningful components of total rewards, including an ESPP discount with a lookback feature. Additional programs like a student-loan pathway to earn the 401(k) match are included as financial-support enhancements.

Workday Insights

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The Company
HQ: Pleasanton, CA
14,894 Employees
Year Founded: 2005

What We Do

Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

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