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.
מלאה
25,000-35,000 ₪
- Drive technical decisions around AI evaluation frameworks, monitoring, and observability tools
- Design, build, and deploy AI-powered solutions across yad2s products and platforms
- Work hands-on with Large Language Models (LLMs), retrieval-augmented generation (RAG), embeddings, vector databases, and prompt engineering
- Develop scalable backend services that integrate AI capabilities into production
- Collaborate closely with product, data, and engineering teams to identify high-impact AI opportunities
- Lead by example: write clean, high-quality code, set best practices, and help shape the foundation of the AI team
- Design, build, and deploy AI-powered solutions across yad2s products and platforms
- Work hands-on with Large Language Models (LLMs), retrieval-augmented generation (RAG), embeddings, vector databases, and prompt engineering
- Develop scalable backend services that integrate AI capabilities into production
- Collaborate closely with product, data, and engineering teams to identify high-impact AI opportunities
- Lead by example: write clean, high-quality code, set best practices, and help shape the foundation of the AI team
Requirements:
- Strong software engineering background - solid experience with Python or Node.js, microservices, APIs, and cloud environments (AWS preferred)
- Hands-on AI experience - building and deploying applications with LLMs (OpenAI, Anthropic, HuggingFace, etc.) and generative AI technologies
- Knowledge of Machine Learning fundamentals ( data preprocessing, model fine-tuning, evaluation)
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and search/recommendation systems is a big plus
- Ability to thrive in ambiguity, take ownership, and move fast in a startup-like environment
- Prior experience in building or scaling AI/ML infrastructure in production - an advantage
- Understanding of AI evaluation methodologies and metrics
- Strong software engineering background - solid experience with Python or Node.js, microservices, APIs, and cloud environments (AWS preferred)
- Hands-on AI experience - building and deploying applications with LLMs (OpenAI, Anthropic, HuggingFace, etc.) and generative AI technologies
- Knowledge of Machine Learning fundamentals ( data preprocessing, model fine-tuning, evaluation)
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and search/recommendation systems is a big plus
- Ability to thrive in ambiguity, take ownership, and move fast in a startup-like environment
- Prior experience in building or scaling AI/ML infrastructure in production - an advantage
- Understanding of AI evaluation methodologies and metrics
This position is open to all candidates.
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.
לוד
ערב
7 חודשים
