Generative AI Engineer

Remote: 
Full Remote
Contract: 
Work from: 
Israel

Offer summary

Qualifications:

At least 5 years of experience in Python or C# development., Strong knowledge of Large Language Models (LLMs) and Generative AI systems., Experience with prompt engineering, fine-tuning, and agent-based architectures., Solid understanding of cloud services like Azure or AWS and collaborative development tools..

Key responsibilities:

  • Develop and optimize GenAI and LLM-based systems for cybersecurity and business use cases.
  • Collaborate with AI researchers, data scientists, and stakeholders to ensure AI solutions are robust and production-ready.
  • Design and build AI infrastructure to support intelligent, data-driven decision-making.
  • Contribute to the development of innovative AI software projects involving RAG, Agentic AI, and related technologies.

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CodeValue
51 - 200 Employees
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Job description

Description

As a Generative AI Engineer at CodeValue, you'll play a key role in our AI innovation team, contributing to the development and deployment of cutting-edge GenAI and LLM-based systems. You'll be at the forefront of designing, building, and optimizing intelligent AI solutions that power real-world cybersecurity use cases and business innovation.

This role involves close collaboration with AI researchers, data scientists, and product stakeholders to ensure that our AI capabilities are robust, secure, and production-ready. You'll help shape and scale our AI infrastructure while enabling intelligent, data-driven decisions across the organization.


What You’ll Do

Generative AI Development & Model Optimization

Develop innovative software projects implementing GenAI/LLM technologies. Including RAG, Agentic AI and more.



Requirements

  • 5+ years of hands-on Python/C# development experience with strong knowledge of modern software engineering practices.
  • Proven experience with Large Language Models (LLMs) or Generative AI (GenAI) systems—covering prompt engineering, fine-tuning, and agent-based architectures. Proven experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines.
  • Solid understanding of Azure/AWS services and designing cloud-native architectures.
  • Proficiency with Git and collaborative development workflows.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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