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Jazz is reimagining Data Loss Prevention (DLP) by replacing rule-based frameworks with an AI-powered approach. The company uses a forensic endpoint agent combined with an Agentic Investigator that learns business context, delivering pre-investigated answers instead of noise—designed to be operated by a single person.
As a Senior AI Engineer, you will build the intelligence layer powering Jazz's core product. You'll tackle complex challenges at the intersection of AI, cybersecurity, and large-scale systems, working with large language models and highly imbalanced security datasets.
Key responsibilities include:
- Integrating and deploying cutting-edge AI frameworks into the core product
- Designing and implementing generative workflows, agentic systems, tool-using LLMs, RAG pipelines, and vector search infrastructure
- Building and deploying models for classification, generation, and embeddings tailored to security use cases
- Developing automated testing, evaluation, and monitoring systems to ensure model performance and data quality in production
- Managing the full model lifecycle from experimentation through deployment, optimization, and maintenance
- Collaborating with product and engineering teams to integrate AI capabilities
- Providing technical mentorship and contributing to high engineering standards
You should have 4–6+ years of machine learning engineering or applied AI experience, with preference for an MSc or PhD. You'll need hands-on experience building and deploying large-scale production systems with ML components, practical knowledge of modern AI architectures (LLMs, RAG, vector search, prompt orchestration), strong backend engineering skills, and experience productionizing AI frameworks with automated testing and monitoring. Strong architectural thinking, algorithmic intuition, and the ability to work independently in fast-moving environments are essential.
The office is located at Sonol Tower in Tel Aviv, next to Carlebach train station.
