LLM Prompt Engineer


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    - Full Time

    Posted on: 6 May, 2024

    LLM Prompt Engineer

    Are you a backend-oriented engineer who is deeply interested in AI and LLM technology?

    Do you love to solve interesting challenges and make a direct impact through your work?

    Are you a people person who is into code? (and not a code person who is into people!)

    At Paradox, we believe when you get the people thing right, you can build teams that can change the world. We’re helping organizations around the globe reimagine hiring with our first-of-its-kind recruitment technology. From our Conversational ATS to our best-in-class hiring assessments, Paradox is laser-focused on building world-class products and a team that our clients love. Our high-performance culture and triple-digit growth have been recognized on Deloitte’s “Fast 500” technology companies, the Inc 5000 list of fastest-growing private companies, and as a Forbes Best Startup Employer. And we’re just getting started. We are looking for top performers who have a track record of success and want to build a company and create the future together.

    We’re in search of a Prompt Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you’ll play a crucial part in elevating the hiring experience for millions worldwide. In Paradox, you’ll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let’s redefine the landscape of recruitment technology together!

    Sound like your perfect fit? We want to hear from you!

    As a Prompt Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale Paradox’s conversational AI capabilities. In this role, you will:

    • Dive deep into the potential of Large Language Models (LLMs), specifically aiming to enhance the conversation quality of our AI-driven hiring assistant. Experiment with different techniques and methodologies to optimize the interaction between users and AI.
    • Craft, test, refine, and optimize prompts to effectively communicate with existing AI models, aiming for improved clarity, efficiency, security and user satisfaction.
    • Implement and assess practical applications of LLM research findings in user-facing applications, creating scalable, impactful tools.
    • Develop scalable testing methods for LLMs, allowing for rigorous and systematic evaluation of different models, parameters, and techniques.
    • Work closely within our global R&D team to drive the evolution of prompt strategies, fostering a collaborative and innovative environment

    Required Qualifications:

    • Bachelor’s Degree in Computer Science or related field
    • At least 2 years of experience in Data Science roles
    • Experience working with Python is a plus
    • Deep interest and foundational knowledge in Large Language Models (LLMs) and Prompt Engineering
    • Excellent written communication and problem-solving skills
    • Fluent in English, including both written and verbal communication
    • Ability to learn quickly and maintain attention to detail
    • Authorization to work in Israel

    Preferred Qualifications:

    • Experience in UI/UX design, Machine Learning, AI techniques, chatbot development platforms, or NLP/NLU is a plus

    Why you should work at Paradox:

    • Work side by side with passionate, purposeful people - Talent is our DNA and we pride ourselves on having the best!
    • Ability to make a big impact on a growing organization and drive your own growth
    • The opportunity to build the next big thing in recruiting technology
    • Internal and external professional development, coaching, and continuous education opportunities

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