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

יקנעם עילית

חברה בתחום הייטק / חומרה / תוכנה / סייבר

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

What you'll be doing:

Design and build the core platform that powers an autonomous AI agent - including its reasoning engine, tool orchestration, and the runtime infrastructure it operates on.

Develop and evolve the Micro-services ecosystem that gives the agent its capabilities - from knowledge retrieval and log analysis to code execution and workflow automation.

Own features end-to-end: from requirements analysis and architecture, through implementation, to production deployment and iteration based on real usage.

Instrument, evaluate, and improve the platform's reliability - build observability, track quality, and feed signals back into the system to make the agent more effective over time.

Collaborate with engineering teams across the organization to identify high-impact workflows and translate them into AI-assisted automation that boosts developer productivity.

Work across the stack when the problem requires it - Python services, Kubernetes infrastructure, data stores, CI/CD pipelines, and developer-facing tools.

Requirements:
What we need to see:

B.Sc. in Computer Science, Computer Engineering, or a related field.

5+ years of relevant experience.

Solid system-level understanding with experience designing and delivering production services.

Ability to architect solutions, guide AI tools effectively, and reason about system behavior end-to-end.

Familiarity with containerization and orchestration (Docker, Kubernetes).

Understanding of REST APIs, microservice architectures, and distributed systems.

Ability to learn complex concepts in a fast-paced environment.

Ways to stand out from the crowd:

Familiarity with Kubernetes operators, Helm charts, and cluster management.

Experience with LLM application development - prompt engineering, agentic frameworks (ReAct, tool-use), or RAG pipelines.

Hands-on experience with FastAPI, async Python, or similar modern Python web frameworks.

Experience with vector databases, semantic search, or embedding models.

Knowledge of OAS (OpenAPI Specification), MCP (Model Context Protocol), and A2A (Agent-to-Agent) protocol ecosystem.

This position is open to all candidates.