Applied AI Engineer

Mint AI; Doha; On-site; QAR 180,000 - 300,000; Full time

Job summary

Mint AI is seeking Applied AI Engineers to turn client problems into production-ready Arabic-capable AI solutions. You will sit close to clients and Strategists, building custom applications on top of Arabic-language models for government and enterprise workflows.

Product thinking matters as much as engineering skill. You will design prompts, retrieval pipelines and evaluation frameworks while adapting models for Arabic and bilingual content.

Qualifications

• 3+ years of software engineering experience, including hands-on work building LLM applications.
• Strong Python skills and experience with modern AI frameworks and vector databases.
• Solid grasp of RAG, agents, fine-tuning trade-offs and model evaluation.
• Experience working directly with customers or business stakeholders.
• Ability to move fast, own outcomes and explain technical choices simply.

Responsibilities

• Design and build LLM applications, including retrieval systems, agents, document intelligence and conversational tools.
• Adapt models for Arabic, covering Modern Standard Arabic, Gulf dialects and bilingual content.
• Build rapid prototypes and demos that help clients see what's possible.
• Design prompts, retrieval pipelines and evaluation frameworks tuned to client data.
• Work directly with client teams to gather requirements and iterate on feedback.
• Harden prototypes into production systems with the AI Operations team.
• Share what you learn so it becomes reusable components and playbooks.
• Treat cultural accuracy as seriously as model accuracy, and design every application around the person it serves.

Job description

About Mint AI

Mint AI is a sovereign, Arabic-first applied-intelligence firm headquartered in Doha. We build AI that is Arabic-native by design and deploy it for government and enterprise across Qatar, GCC and the wider Middle East.

Our work covers the whole stack: custom AI applications, Arabic language intelligence, the communications that help institutions adopt AI with confidence, and the GPU infrastructure.

We are global in vision and locally compliant in practice.

Our values: The Mintality

We hire for character as carefully as for skill, and everyone at Mint AI works by the Mintality, our shared set of values. We build Arabic-native, culturally grounded AI that serves the many, combining rigorous method with creativity, openness to the world and real dialogue between institutions and people. We are honest about what AI can and cannot do, and we never build systems that deceive, manipulate or harm; every team member can raise ethical concerns freely, and every candidate has a dedicated values conversation during hiring.

The role

Applied AI Engineers turn client problems into working AI solutions. You'll sit close to our clients and our Strategists. You'll build custom applications on top of Arabic-capable language models and ship them into real government and enterprise workflows. In this role, product thinking matters as much as engineering skill.

What you will do

• Design and build LLM applications, including retrieval systems, agents, document intelligence and conversational tools.
• Adapt models for Arabic, covering Modern Standard Arabic, Gulf dialects and bilingual content.
• Build rapid prototypes and demos that help clients see what's possible.
• Design prompts, retrieval pipelines and evaluation frameworks tuned to client data.
• Work directly with client teams to gather requirements and iterate on feedback.
• Harden prototypes into production systems with the AI Operations team.
• Share what you learn so it becomes reusable components and playbooks.
• Treat cultural accuracy as seriously as model accuracy, and design every application around the person it serves.

What you bring

• Genuine alignment with our values: the Mintality, shown through how you have worked, what you have built and what you have chosen not to do.
• 3+ years of software engineering experience, including hands‑on work building LLM applications.
• Strong Python skills and experience with modern AI frameworks and vector databases.
• A solid grasp of RAG, agents, fine‑tuning trade‑offs and model evaluation.
• Experience working directly with customers or business stakeholders.
• The ability to move fast, own outcomes and explain technical choices simply.