Description
We're seeking an LLM Engineer to join our team at Paradox, part of Workday. 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.
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.