עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

הרצליה

חברה בתחום הייטק / חומרה / תוכנה / סייבר

הרצליה
מלאה
30,000-45,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

In this role on our AI team, you'll build and scale core AI systems that power our products. You'll work across agentic document intelligence, autonomous agents, compliance AI, and ML-powered insights, prototyping quickly, building robust evaluations, and shipping production-grade AI with real business impact.

What You'll Do:
Build and ship AI/ML solutions using LLMs, agents, RAG, and document understanding models, alongside classic ML.
Prototype quickly, validate feasibility, and turn strong POCs into production systems.
Evaluate models and architectures, apply testing and guardrails to improve agent and service reliability.
Research and apply emerging techniques: multimodal/document AI, agentic frameworks, synthetic data generation, and new architectural approaches.
Work cross-functionally with product, R&D, and compliance teams to deliver end-to-end solutions.
Contribute to scalable, secure architecture and engineering best practices for AI delivery.

Requirements:
5+ years of experience in AI/ML engineering or applied data science with production engineering responsibilities.
Strong Python skills and solid software fundamentals.
Experience building production LLM-powered systems, including prompt design, embeddings, fine-tuning, RAG; agent experience is a plus.
Solid ML foundations; NLP, document AI, or multimodal experience is a plus.
Hands-on experience with modern AI tooling (Hugging Face, PyTorch, LangChain, LangGraph) and cloud infrastructure (AWS preferred).
Strong communication and collaboration skills; comfortable working cross-functionally with product and domain teams.
BS/MS/PhD in Computer Science, Data Science, or Engineering (MS/PhD a plus).

This position is open to all candidates.