About the Role

At ai.work, we're building AI Workers—digital employees that automate enterprise operations.

As an AI Builder, you'll move between big-picture workflow design and low-level prompt debugging - and ship agents that actually work in production. Your role combines systems thinking, behavior design, and hands-on engineering.

You'll spend significant time working directly with customers- on-site at their offices, on calls, and in their systems. You'll sit with enterprise teams, understand exactly how they do their jobs today, then design and build the AI agent implementations that automate those workflows. You'll translate messy, real-world business processes into precise agent architectures - figuring out the right combination of prompts, tools, and logic to make automation work reliably. Quality, edge cases, and getting the details right matter deeply in this role.

You'll report to the Head of Product and work closely with R&D, AI engineering, and Solutions. Your success will be measured by production deployments that work smoothly, reusable templates you contribute to our platform, and the technical gaps you identify that make our product better.

What You'll Do

• Build AI agent implementations: Work directly with customers to understand their workflows, then design and build the multi-agent architecture, including agentic skills, prompt & context engineering, tool combinations, and automation logic- that makes the use case work.
• Partner with customers: Run discovery sessions, guide them through setup and implementation, and be a patient, reliable point of contact throughout the process.
• Debug and troubleshoot: When agents don't behave as expected, systematically isolate whether the issue is in the prompt, the API response, permissions, tool configuration, or customer environment. Research solutions and iterate until it works reliably.
• Test thoroughly: Anticipate edge cases before they break in production. Run scenarios, stress test implementations, and ensure quality before deployment.
• Handle technical setup: Understand customer environment requirements—service accounts, roles, permissions, API access. Provide guidance on configuration and troubleshoot integration issues across our platform and customer systems.
• Contribute to the product: Create reusable agents and templates based on real implementations. Identify integration gaps and guide R&D on missing tools, integration improvements, or new capabilities.

What We're Looking For

• Programming logic mindset: You think logically about systems - being able to break them into conditionals, functions, variables, and modular components. You may have a coding background (even if not as a professional developer), or you've built automations, scripts, or tools that required thinking like an engineer.
• Entrepreneurial self-learner: Given a vague requirement or unfamiliar system, you break it down, teach yourself how it works through experimentation, and iterate until you've solved it. You don't wait for specs or instructions.
• Customer communication skills: You're comfortable working directly with customers - running discovery sessions, asking the right questions, and patiently guiding non-technical stakeholders through complex setups. You can translate technical concepts into plain language and stay friendly and helpful when things get confusing or frustrating.
• AI understanding: You have a working mental model of how LLMs behave—context windows, prompt engineering, tool use, and where they tend to fail. You're not surprised when AI does something unexpected.
• API fluency: You understand how APIs work—endpoints, inputs, outputs, authentication, error responses. You can read API documentation and figure out how to achieve something that isn't obviously supported.
• Quality obsession: You care about getting details right. Sloppy work that "kind of works" bothers you. You naturally think about what could go wrong and handle edge cases before they become production issues.

Advantages

• Experience configuring AI tools (AI Agents, AI automation workflows, Custom GPTS)
• Background in IT, IS, operations, or technical support
• Experience with configuring settings / workflows in enterprise platforms (e.g. ServiceNow, Jira, Okta, Google Workspace, Active Directory, NetSuite)
• Customer-facing experience (solutions engineering, technical support, implementation)
• Coding experience (mainly to review AI-generated code and make small modifications)

Why Join Us

• Shape the future of AI-powered enterprise automation at an early-stage, high-impact company
• Become the expert in the most important technology shift of our generation and future proof your career.
• This isn't AI R&D - it's production. Your work goes live with real enterprise customers, and you'll see whether it actually works.
• Direct impact on product direction through the gaps and templates you contribute
• Competitive compensation and equity

What We Offer

• Opportunity to grow with a well-funded AI startup
• Career development opportunities as the company scales
• Work side by side with experienced veteran founders and a strong team
• Work is fully on-site - split between our Expo Tel Aviv office and customer sites, depending on needs