Artificial Intelligence Engineer
Role Overview
The Forward Deployed Engineer (Artificial Intelligence Engineer) deploys AI agents and automations into production business functions and keeps them running.
The engineer works with functions including buying, supply chain, HR, finance, and retail, integrating solutions with company platforms and training owners before moving to the next function.
This is a hands-on individual contributor role in the AI Team, reporting to the Head of AI Team and fully based in Dubai.
Relocation support is provided.
Key Skills for This Role
Full Job Posting
About Gloria Jeans
Gloria Jeans is a fashion retailer with more than 600 stores across Russia, Kazakhstan, and Belarus and over 7,000 employees.
The company has moved its headquarters to the UAE and is pursuing international growth, with the GCC and Southeast Asia as priority markets.
Its growth plans include e-commerce and new Home and Beauty categories.
The role
The Forward Deployed Engineer (Artificial Intelligence Engineer) deploys AI agents and automations into production business functions and keeps them running.
The engineer works with functions including buying, supply chain, HR, finance, and retail, integrating solutions with company platforms and training owners before moving to the next function.
This is a hands-on individual contributor role in the AI Team, reporting to the Head of AI Team and fully based in Dubai.
Relocation support is provided.
What you will own
- Embed with a business function on-site to understand its systems, data, and workflows.
- Design solution architecture, data flows, agent logic, and integration points with the AI Product Lead and IT; define the reliable first-release scope.
- Build agents and automations with Claude, the Claude API, and agent frameworks in Python or TypeScript.
- Integrate AI tools with ERP, Power BI, HR, and planning systems through APIs, data pipelines, and connectors.
- Handle messy inputs, multilingual documents, and edge cases.
- Ship small weekly releases and iterate with real user feedback.
- Create agent evaluation sets, regression tests, and quality thresholds before release.
- Deploy and monitor solutions, including logging, error tracking, alerting, and model-spend control.
- Build in security through access control, secrets management, and data protection agreed with Information Security.
- Train function owners and champions, write runbooks, and turn solutions into reusable AI Team components.
What we are looking for
- 2–4 years of software engineering experience shipping production systems, including hands-on work with LLM applications or AI agents.
- A record of personally driving integrations, agents, or internal tools into production and keeping them operational.
- Strong fundamentals in Python or TypeScript, APIs, SQL, Git, testing, and deployment.
- Hands-on experience with LLM APIs, tool calling, and agent frameworks; Claude API and Claude Code experience is a strong advantage.
- Ability to find reliable integration paths through ERP schemas, Power BI models, or messy data exports.
- Comfort working with non-technical teams, explaining trade-offs plainly, and owning outcomes.
- Daily hands-on use of AI tools in one's work.
- Fluent Russian and professional English.
- Willingness to relocate to Dubai and travel to operations and sourcing offices when needed.
Success measures
- Success in the first year means AI solutions are running in production across several business functions and used by teams daily.
- Measures include production delivery and prototype-to-production time, uptime, error rates, incidents, evaluation quality, active-user adoption, hours saved, business impact, component reuse, and costs against budget.
What the company offers
- Competitive salary and annual performance bonus.
- Relocation and visa support, private medical insurance, and annual leave.
- Learning and development and best-in-class AI tooling.
Application process
- Apply through the application link; the company says it will contact applicants on WhatsApp to discuss details and interview stages.
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