LLM Engineer

Department
Applications
Type
Full-time
Level
Location
Israel
About The Position

LLM Engineer

Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We are seeking a talented LLM engineer to help us advance our team. The ideal candidate should be a self-driven, motivated, and independent thinker who is passionate about using data and LLM to drive business outcomes.

Responsibilities:

  • Develop and implement cutting-edge LLM models and algorithms for demand forecasting applications.
  • Conduct research and experimentation to identify and evaluate new approaches for improving model accuracy and performance.
  • Collaborate with cross-functional teams, including business stakeholders, data engineers, and software developers.
  • Communicate technical findings and insights to non-technical stakeholders, including executives and other decision-makers.
About The Position

You’ll be a great fit if you have:

  • 1+ years of hands-on experience in LLM and Prompt Development
  • Strong understanding of LLM systems in production, including good coding practices for testing, reproducibility, and version control.
  • Strong coding skills in Python.
  • Excellent written and verbal communication skills.

Nice to have:

  • 1+ years of hands-on experience in data science / machine learning
  • Knowledge of code optimization, cloud computing, containerization, and continuous integration/continuous deployment (CI/CD) pipeline
  • Published papers, patents, or professional posts.
  • Experience with MLOps and cloud platforms like GCP.
  • Strong data visualization and data analysis skills.
  • Degree in Computer Science or related quantitative field

Application Form

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