Prompt Engineer

  • Planck
  • Tel-Aviv
  • Full-time
About The Position

Who are we?

Planck, now a part of Applied Systems Inc., is revolutionizing the insurance market with its advanced use of Generative AI (GenAI). Our state-of-the-art platform turns unstructured data into real-time, actionable insights, enabling insurance companies to make smarter, faster decisions. As the AI hub for Applied Systems, we are uniquely positioned at the forefront of the industry, driving significant advancements and delivering exceptional value to our clients.

Joining Planck means working in a dynamic startup environment while benefiting from the resources and maturity of a market leader like Applied Systems. We foster an inclusive culture that supports professional development and work-life balance. At Planck, you’ll be at the cutting edge of technology, shaping the future of insurance while advancing your career within the larger framework of Applied Systems.

What are we looking for?

We are looking for a problem-solver at heart with a lot of passion for AI and data challenges. A person who will own initiatives and be a part of building the core product of Planck.

As a Prompt Engineer, you will face complex problems and deconstruct them into their key components, craft effective prompts for AI models, and deduce insights that will push our product to the next level. You will learn and implement best practices with different LLM models, yet also need to implement out-of-the-box thinking at times they don’t work.

You will be in charge of designing and optimizing prompts for large language models using our internal tools—from dataset creation, through error analysis, to testing and refining—while working closely with product, data science, and engineering teams.

Requirements:

What should you have?

  • 3+ years of experience in Data Analysis, AI, or product research (or any adjacent field) 
  • Experience with Python for data analysis (pandas, notebooks)
  • Strong analytical skills, statistical thinking, and a passion for solving complex problems in creative ways
  • Familiarity with common-used Large Language Models, such as GPT and Gamini
  • Excellent teamwork skills
  • Excellent written and verbal communication skills
  • Excellent self-learning skills
  • Experience working in an Agile environment – An Advantage
  • Version control experience (Git) – An Advantage

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