Forward Deployed Engineer (AI)

Location: Hybrid in Dubai, United Arab Emirates

Company

hirify.global builds self-learning AI agents and an organisational operating system that helps enterprises automate workflows and improve through autonomous discovery.

What you will do

• Partner with enterprise customers to identify automation opportunities, gather requirements, and translate business problems into agent-powered solutions.
• Design and build agentic automations with Beam's Agent OS, including workflow scoping, prompt engineering, and integration configuration.
• Manage delivery end-to-end, including timelines, client expectations, and communication with technical and executive stakeholders.
• Troubleshoot live automations by diagnosing issues, refining prompts, and improving performance.
• Collaborate with product and engineering to define features, identify platform gaps, and provide customer insights for the roadmap.
• Advise clients on AI adoption, workflow automation practices, and integration architecture.

Requirements

• 2–3 years of experience in a client-facing technical role, such as Solutions Engineer, Implementation Consultant, Deployment Engineer, Customer Engineer, or similar.
• Strong project management and communication skills, including delivery timeline management, client expectation management, and explaining technical concepts to engineers and executives.
• Demonstrated prompt engineering expertise, including systematically writing, testing, and optimising prompts in production or near-production settings.
• Experience using AI to automate real business workflows, not only sandbox experiments.
• Solid API knowledge and experience scoping and coordinating integrations with external systems.
• Analytical, process-driven thinking with the ability to structure messy business workflows and design automation approaches.

Nice to have

• AI/ML background or hands-on experience applying AI to business workflows.
• Experience in a fast-paced startup environment.

Culture & Benefits

• High-trust, high-ownership environment with autonomy and limited hierarchy.
• Customer-focused culture that values early feedback and measurable outcomes.
• Fast experimentation, short feedback loops, and prioritisation of unblocking over perfection.
• Independent work aligned around outcomes, supported by collaboration rather than rigid processes.
• AI-native, data-driven culture focused on curiosity, candid feedback, craft, speed, and long-term thinking.

Hiring process

• The process includes a case study based on a realistic automation challenge.
• The case study requires designing an extraction prompt, building a project plan, and presenting the approach.