TL;DR

AI Solution Engineer (Business Applications): Designing and developing AI-driven automations and agentic workflows for internal business processes with an accent on integrating data, tools, and APIs. Focus on building scalable, secure, and reliable AI solutions and optimizing workflows using advanced prompting techniques and data feedback.

Location: Onsite in Tel Aviv, Israel

Company

%hirify_global% is an industry leader in digital adoption, enabling organizations to maximize the impact of their digital transformation and accelerate the return on their software investment.

What you will do

Design and develop AI automations, agents, and agentic workflows that automate and augment internal business processes.
Develop and maintain integrations and workflows using tools like n8n, Workato, and other automation or orchestration platforms.
Write JavaScript-based logic (and Python where relevant) to extend low-code/no-code tools, integrate APIs, and orchestrate AI-driven flows.
Build scalable, secure, and reliable automations, including monitoring, logging, and guardrails for AI behavior.
Implement advanced prompting and agent patterns, such as structured outputs, tool/function calling, and RAG.
Optimize workflows using data, telemetry, and feedback to improve reliability, performance, and business impact.

Requirements

2–4 years of experience as a Business Applications/Web Developer, IT/System Engineer, Automation Engineer, or AI-focused Solution Engineer.
Practical experience working with LLMs, AI agents, and RAG-based solutions, and connecting them to real-world business workflows.
Strong experience with APIs, webhooks, and system integrations.
Hands-on experience with JavaScript for building and extending applications or integrations.
Experience working with low-code/no-code automation tools such as Workato, n8n, Make, or similar platforms.
English: B2 required

Nice to have

Python experience.

Culture & Benefits

Work on a contractor basis, or via an employment agency.
Collaborate closely with IT, TechOps, Engineering, Data, and Security teams.
Opportunity to shape how AI-driven automations are applied across internal systems.
Focus on solving complex challenges and delivering real solutions.
Work with an industry creator in digital adoption.