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 90,000 משרות • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.

DOCX, DOC, PDF - בעברית או באנגלית

כבר העליתם קו"ח בעבר? כניסה

חברה בתחום כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה
30,000-45,000 ₪ שכר משוער (AI)
השכר המצוין אינו פרסום של המעסיק

What You'll Do
Lead a team of engineers building our company's core AI agent, from prompt architecture and tool orchestration to the real-time UI that makes the agent's thinking visible and actionable.
Own the full agent stack: working memory, dynamic persona infrastructure, context management, tool calling, and integration with backend AI services.
Drive architectural decisions around agent reliability, latency, and user trust, including how the agent reasons, when it asks for confirmation, and how users review and act on its suggestions.
Build and iterate on MCP integrations that extend what the agent can do, connecting it to publishing platforms, media tools, and external services.
Collaborate with Product and Design to shape the agent experience: making AI reasoning transparent, interactions natural, and outputs high-quality.
Champion engineering quality through observability (Langfuse), E2E testing, and CI/CD automation on prompts and agent behavior.
Grow your team members technically, help them navigate ambiguity (agent development is full of it), and maintain high velocity on a fast-moving roadmap.

Requirements:
Proven experience leading a software engineering team (3+ years in a team lead or engineering manager role).
Hands-on experience building AI agent systems, not just consuming APIs. You understand tool-calling patterns, context window management, prompt engineering at
scale, and the challenges of making agents reliable.
Strong frontend engineering background (React, TypeScript). The agent lives in a rich, real-time UI, and you need to be comfortable across the full stack from LLM integration to pixel-level interaction design.
Experience with streaming architectures, real-time UIs, and state management in complex client-side applications.
A strong product sense. You think about what the agent should do, not just what it can do. You care about trust, transparency, and the user's sense of control.
Comfort with ambiguity and fast iteration. Agent development means running experiments, measuring behavior qualitatively, and adjusting course frequently.
Experience with micro-frontend architectures (Module Federation, Rsbuild).

This position is open to all candidates.

DOCX, DOC, PDF - בעברית או באנגלית

כבר העליתם קו"ח בעבר? כניסה