AI Engineer

3 days ago

Center District, Israel Jeen Full time

About us

Jeen.AI empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights across any cloud or on-premise environment. Trusted by industry leaders shaping tomorrow's technological landscape.

Why Join Us?

Be the AI champion driving innovation across our platform and company culture. Build cutting-edge LLM frameworks, shape AI strategy, and mentor teams while working with the latest generative AI technologies.

Key Responsibilities

  • Develop and implement cutting-edge AI solutions with a focus on LLMs and real-world applications
  • Design, build, and optimize agentic LLM frameworks for domain-specific customer use cases
  • Collaborate cross-functionally with engineering, product, and data teams to integrate AI capabilities into the platform
  • Build scalable and production-ready pipelines for AI/LLM workloads, ensuring performance, observability, and reliability
  • Research, evaluate, and experiment with emerging tools in the GenAI space to stay ahead of the curve
  • Promote AI usage across the company, mentoring team members and driving AI adoption in internal tools and customer experiences

Requirements

  • 3+ years of experience in Data Science or Software Engineering
  • Hands-on experience with LLM frameworks (e.g. OpenAI APIs, Hugging Face) – minimum 1 year
  • Solid understanding of cloud environments (AWS, GCP, or Azure)
  • Familiarity with modern DevOps principles, Git, CI/CD workflows
  • Experience in deploying AI models and maintaining production pipelines
  • Proficiency with GenAI technologies such as RAG, prompt engineering, vector databases
  • Strong analytical mindset, fast learner, and highly motivated to explore new tools and AI techniques
  • Experience working with MCP (Model Context Protocol) in practical applications.
  • Proven experience with fine-tuning AI/ML models to optimize performance for specific use cases.
  • Bonus: Exposure to GPU acceleration tools (e.g. CUDA, TensorRT)

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