DevJobs

Generative AI Engineer

Overview
Skills
  • Python Python ꞏ 4y
  • SQL SQL
  • PyTorch PyTorch
  • TensorFlow TensorFlow
  • Kafka Kafka
  • Spark Spark
  • NoSQL NoSQL
  • Hugging Face
  • LangChain
  • LlamaIndex
  • OpenAI API
  • Scikit-learn

About Us


Linnovate Technologies is a leading open-source innovation company based in Bnei Brak. Since 2006, we have been dedicated to providing software solutions to enterprises. Our philosophy revolves around empowerment through open-source collaboration, offering cutting-edge solutions across various technologies.



About the Role


We are looking for a GenAI Engineer who blends the analytical depth of a Data Scientist with hands-on experience in Generative AI. In this hybrid role, you’ll work on extracting insights from data and building intelligent systems powered by state-of-the-art AI models.


You'll join a multidisciplinary team and play a key role in developing data-driven and GenAI-powered solutions for internal and external stakeholders.



Responsibilities


  • Analyze structured and unstructured data to extract insights and support decision-making.
  • Design and implement AI agents and smart copilots using frameworks such as LangChain, LlamaIndex, or similar.
  • Engineer, fine-tune, and integrate Generative AI models (e.g., GPT, Claude, open-source LLMs) into real-world applications.
  • Use prompt engineering and chaining techniques to optimize model responses.
  • Build dashboards and visualizations to present key insights.
  • Develop and maintain robust data pipelines and tools for data exploration.
  • Apply statistical models and machine learning techniques to solve complex problems.
  • Collaborate closely with R&D, product, and business teams to explore and deploy AI capabilities across the company.



Qualifications


  • 4+ years of hands-on experience with Pythonmust
  • Proven experience as a Data Scientist or Data Engineermust
  • Strong command of SQL and NoSQL databases – must
  • Solid skills in statistics, data analysis, and data visualization
  • Experience with statistical algorithms and tools
  • Analytical thinker with a problem-solving mindset
  • Independent and self-motivated, with strong collaboration skills
  • Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Knowledge and experience  with GenAI tools (e.g., OpenAI API, Hugging Face, LangChain, LlamaIndex)


Advantage:

  • Knowledge of big data technologies (e.g., Spark, Kafka)
  • Understanding of AI model deployment and evaluation
  • Master’s degree in Data Science, Computer Science, Statistics, or related field


Linnovate