Forward Deployed Engineer (AI)
Role Overview
Hands-on Forward Deployed Engineer role delivering technical solutions across enterprise accounts.
Work directly with client teams and senior executives to identify business challenges, build production-ready AI solutions, and turn successful implementations into scalable product capabilities.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on Forward Deployed Engineer role delivering technical solutions across enterprise accounts.
Work directly with client teams and senior executives to identify business challenges, build production-ready AI solutions, and turn successful implementations into scalable product capabilities.
Location and work arrangement
- Full-time, office-based role in Dubai, UAE.
- Regular travel to Saudi Arabia and occasional travel to the United States.
Client discovery and solution design
- Identify business challenges and AI automation opportunities with enterprise clients and senior stakeholders.
- Translate business requirements into technical solutions tied to measurable outcomes.
AI engineering and development
- Build and deploy production-ready LLM workflows, AI agents, and agentic applications.
- Develop tools, integrations, and workflows using Python or TypeScript.
- Implement evaluation, monitoring, and human approval controls for reliable AI performance.
Data integration and delivery
- Integrate client data and external systems through APIs, data pipelines, and enterprise platforms.
- Ensure solutions are secure, reliable, and maintainable in production.
- Own technical delivery across enterprise accounts and demonstrate measurable business value.
Product collaboration and success
- Turn client feedback into reusable integrations, workflows, and product features.
- Identify opportunities to expand adoption and scale successful solutions across customers.
- By day one, take ownership of up to five enterprise accounts.
- By six months, establish critical AI workflows across at least two accounts and a rapid client feedback-to-product loop.
- By twelve months, deliver successful outcomes across all five accounts and establish repeatable implementation processes.
Requirements
- At least 4 years of experience shipping production software using Python and/or TypeScript.
- Proven experience deploying LLM-powered applications or AI agent workflows into production.
- Strong understanding of agent orchestration, tool calling, evaluation, and production reliability.
- Experience with APIs, data pipelines, and system integrations.
- Strong problem-solving and product thinking, including translating business challenges into scalable solutions.
- Confidence working directly with enterprise clients and senior stakeholders.
- Ability to work independently in a fast-paced startup environment.
- Practical engineering ability, ownership, and demonstrated production experience matter more than formal credentials.
Nice to have
- Experience with RAG, multimodal AI, model fine-tuning, or agent frameworks.
- Familiarity with MCP servers and AI coding tools.
- Arabic language skills or experience in adtech, creator marketing, retail media, or CPG.
- Knowledge of enterprise data privacy, security, and data residency requirements.
Compensation
- Competitive salary plus equity; no compensation cadence or amount is stated.
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