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תיאור המשרה: ארגון פיננסי באזור המרכז מגייס מהנדס/ת AI התפקיד כולל: עבודה עם מערכות AI מתקדמות כחלק מחטיבת חדשנות, פיתוח Smart Agents ומערכות מבוססות LLM, בניית תהל…
Israel has one of the densest AI research and product communities anywhere, and it shows in what employers ask for: far more of these roles are about shipping models into production than about training them from scratch.
As of 2026-09-10, Scouter tracks 42 open AI Engineer roles in Israel, advertised by 35 employers, counted every morning from the Israeli job boards and from employers' own career pages over a rolling 30-day window.
The ads below are the ones our matcher reads as AI engineering — bare "AI" and "machine learning" in the job TITLE, not in the body, because almost every modern engineering description mentions AI somewhere and matching on that would return the whole board.
Two things worth knowing before you filter. First, the boundary between an AI engineer, an ML engineer and an algorithm engineer is drawn differently by almost every Israeli employer, so search all three. Second, this is the role where the skills list below moves fastest: the vocabulary in these ads has shifted from model training toward retrieval, evaluation and orchestration in the space of a couple of years.
The boundary is drawn differently by almost every Israeli employer. Some reserve AI engineer for the person putting models into production and ML engineer for the person training them; others use the two interchangeably. Search all three titles — AI, ML and algorithm engineer — rather than trusting one.
In this market the ads lean toward production skills — retrieval, evaluation and orchestration — more than toward training models from scratch. The skills list below counts what live Israeli postings actually name, which is not the same as what a curriculum recommends.
Fewer of them than the title suggests. A posting that wants research says so explicitly — publications, a doctorate — while the larger share ask for engineering experience with models somebody else trained. The wording of the ad is a more reliable signal than its title.
Counted across 41 live postings for this role that carry a description.
| Skill | Ads | Share |
|---|---|---|
| LLMs | 80.5% | |
| Python | 68.3% | |
| RAG | 43.9% | |
| Machine Learning | 39.0% | |
| Generative AI | 31.7% | |
| LangChain | 31.7% | |
| AWS | 26.8% | |
| CI/CD | 24.4% | |
| Microservices | 22.0% | |
| Docker | 19.5% | |
| Kubernetes | 17.1% | |
| JavaScript | 12.2% |
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