AI Solution Engineer (Business Applications)

TL;DR

AI Solution Engineer (Business Applications): Designing and developing AI automations, agents, and agentic workflows that automate and augment internal business processes with an accent on integrating data, tools, and processes. Focus on building scalable, secure, and reliable automations, implementing advanced prompting and agent patterns, and optimizing workflows using data and feedback.

Location: Onsite in Tel Aviv, Israel

Company

hirify.global is a leader in digital adoption, enabling organizations to maximize digital transformation impact and accelerate software investment return, serving over 2,000 clients, including Fortune 500 companies.

What you will do

• Design and develop AI automations, agents, and agentic workflows for internal business processes.
• Develop and maintain integrations and workflows using tools like n8n, Workato, and other automation platforms.
• Write JavaScript-based logic (and Python where relevant) to extend low-code/no-code tools and integrate APIs.
• 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 and performance.

Requirements

• 2–4 years of experience as a Business Applications/Web Developer, IT/System Engineer, Automation Engineer, or AI-focused Solution Engineer.
• Practical experience with LLMs, AI agents, and RAG-based solutions in business workflows.
• Strong experience with APIs, webhooks, and system integrations.
• Hands-on experience with JavaScript for building and extending applications/integrations (Python is a plus).
• Experience with low-code/no-code automation tools like n8n, Workato, Make, or similar platforms.
• Strong problem-solving, self-learning, and communication skills.

Culture & Benefits

• Work with an industry creator in digital adoption.
• Shape how AI-driven automations are applied across internal systems.
• Collaborate with IT and platform stakeholders, as well as TechOps, Engineering, Data, and Security teams.
• Act as a technical partner to help stakeholders adopt AI-driven solutions.