AI Engineer

Missan; Sharjah; On-site; AED 240,000 - 360,000; Full time

Job summary

Missan Global, based at our Sharjah head office, is seeking an AI Engineer to design, build and run AI agents and LLM applications connected to business systems. The role focuses on safety, evaluation, and reliable deployment of AI solutions in client work and our operations.

Key tasks include integrating with APIs, building RAG systems over company knowledge, and maintaining production agents with robust monitoring and documentation.

Qualifications

• Proven projects building with LLMs, shown in a GitHub or portfolio link.
• Clear written communication and documentation.
• Eligible to work in the UAE.

Responsibilities

• Build AI agents and LLM applications with tool calling / function calling.
• Integrate agents with business systems through APIs (ticketing, email, Microsoft 365 and CRM).
• Build retrieval (RAG) over company documents and knowledge bases.
• Write and maintain evaluation sets, and measure quality, cost and latency.
• Design for safety: prompt-injection defences, least-privilege tools and human approval for sensitive actions.
• Ship, monitor and improve agents in production, and document how they work.

Skills

Python

TypeScript

LLM development

REST APIs

Tools

REST APIs

JSON

Job description

Build AI agents that do real work for clients and for our own operations, safely and reliably. Full time, based at our Sharjah head office.

Missan Global is a Microsoft Solutions Partner for AI Business Solutions. As an AI Engineer you will design, build and run AI agents and LLM applications that connect to business systems: reading and routing email, creating tickets, answering from company knowledge and automating workflows, with the safeguards that real businesses need.

What you will do

• Build AI agents and LLM applications with tool calling / function calling
• Integrate agents with business systems through APIs (for example ticketing, email, Microsoft 365 and CRM)
• Build retrieval (RAG) over company documents and knowledge bases
• Write and maintain evaluation sets, and measure quality, cost and latency
• Design for safety: prompt-injection defences, least-privilege tools and human approval for sensitive actions
• Ship, monitor and improve agents in production, and document how they work

What we are looking for

• Proven projects building with LLMs, shown in a GitHub or portfolio link
• Good Python and/or TypeScript
• Experience working with REST APIs and JSON
• Understanding of prompt design, RAG and evaluation
• Clear written communication and documentation
• Eligible to work in the UAE

Nice to have

• Experience with Microsoft 365, Copilot Studio, Power Automate or Azure
• Experience with vector databases and embeddings
• Background in IT support or managed services