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
20,000-30,000 ₪
Were looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate.
This is not a research role. Youll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short.
If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.
This is not a research role. Youll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short.
If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.
Requirements:
3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code
2+ years of GenAI development experience, with strong AI/ML focus - MUST
Strong Python skills and production mindset - MUST
Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems
Experience with LangGraph, crewAI, Strands or similar orchestration frameworks
Experience in enterprise grade agentic solutions and bringing Agents into production
Experience in AWS Agent Core - Advantage
Solid understanding of ML workflows and MLOps principles
Strong analytical skills and ability to work directly with non-technical stakeholders
Builder mindset: proactive, independent, and impact-driven
Experience with Agentic AI driven applications like n8n, UiPath, Make -Advantage .
3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code
2+ years of GenAI development experience, with strong AI/ML focus - MUST
Strong Python skills and production mindset - MUST
Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems
Experience with LangGraph, crewAI, Strands or similar orchestration frameworks
Experience in enterprise grade agentic solutions and bringing Agents into production
Experience in AWS Agent Core - Advantage
Solid understanding of ML workflows and MLOps principles
Strong analytical skills and ability to work directly with non-technical stakeholders
Builder mindset: proactive, independent, and impact-driven
Experience with Agentic AI driven applications like n8n, UiPath, Make -Advantage .
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.
פתח תקווה
ערב
7 חודשים
