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Senior Software Engineer, AI Operations

Mint AI

Doha, Doha Municipality, Qatar · Full Time

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Experience
3+ yrs
Salary
—
Openings
1
Posted
3 days ago
Work mode
In office
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Job description

About Mint AI

Mint AI is a Doha-based sovereign applied-intelligence company focused on Arabic-native AI technologies. We serve governments and enterprises across Qatar, the GCC, and the Middle East by providing solutions spanning custom AI applications, Arabic language intelligence, communications to facilitate AI adoption, and GPU infrastructure management. Our approach balances a global outlook with adherence to local regulations.

Core Values - The Mintality

  • Mintelligence: Building culturally tuned Arabic-native AI technologies.
  • Mintegration: Committing equally to public-benefit and commercial projects.
  • Mintertainment: Combining creativity with serious intelligence work.
  • Minternationalism: Embracing regional roots and global diversity.
  • Mintuition: Applying rigorous methods alongside imaginative foresight.
  • Minteraction: Designing AI systems for authentic, respectful dialogue.
  • Mintology: Continuous discovery, development, and iteration processes.
  • Mintegrity: Promoting honest AI practices without deception or manipulation.

We prioritize people over platforms, demand transparency, reject harmful projects, and ensure every team member can voice ethical concerns safely. Our hiring involves in-depth conversations focused on alignment with these values.

Role Overview

As a Senior Software Engineer in AI Operations, you will develop the critical operational infrastructure ensuring our AI deployments are stable, secure, and comply with strict data governance standards. You will oversee the process from initial pilots to scalable production systems and help set foundational standards as a founding team member.

Key Responsibilities

  • Design and manage infrastructure for deploying, monitoring, and scaling large language model (LLM) applications.
  • Create pipelines for model serving, evaluation, version control, and rollback strategies.
  • Establish observability mechanisms focusing on performance metrics like latency, operational costs, quality drifts, and accuracy of Arabic language outputs.
  • Support deployments across cloud and on-premises setups adhering to Qatar’s data residency and security mandates.
  • Automate continuous integration/delivery (CI/CD), testing procedures, and incident management for AI workloads.
  • Collaborate with Applied AI and ML engineers to move prototypes into reliable production environments.
  • Establish and document best operational practices to guide team expansion.

Candidate Requirements

  • Fluent written and spoken Arabic; English proficiency at a professional level. Arabic is the primary working language, not merely a translation medium.
  • Strong personal alignment with Mint AI’s core values, demonstrated through past projects and ethical decision-making.
  • Minimum of three years of software engineering experience, with at least two years in infrastructure, platform engineering, site reliability engineering (SRE), or MLOps-oriented roles.
  • Practical experience operating LLM or ML systems in production environments.
  • Proficiency in Python and/or Go programming languages, containerization technologies, Kubernetes orchestration, and infrastructure as code practices.
  • Experience managing GPU-based workloads and using model serving platforms such as vLLM, Text Generation Inference (TGI), or Triton Inference Server.
  • Knowledge of security protocols, compliance standards, and data governance issues typical in regulated government or institutional contexts.

How they work

Communication

Languages

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