Senior AI Engineer

01. ABOUT THE COMPANY

About The Role

03. WHO YOU ARE

• You think pragmatically about AI products and infrastructure.
• You care about reliability, evaluation, and production quality.
• You’re comfortable building systems from experimentation to deployment.
• You understand both model quality and infrastructure cost.
• You enjoy solving applied ML problems in live environments.
• 04.

Responsibilities

• Design and deploy AI-powered product features.
• Build recommendation, ranking, moderation, and agent systems.
• Develop and optimize RAG pipelines.
• Work with modern LLM ecosystems and open-weight models.
• Design evaluation frameworks and testing pipelines.
• Optimize inference, retrieval, and deployment performance.
• Collaborate closely with backend and infrastructure teams.
• 05.

Requirements

• 5+ years in engineering.
• 3+ years building applied ML/AI systems in production.
• Strong Python expertise.
• Experience with PyTorch or JAX.
• Experience with LLMs, RAG, and agent systems.
• Experience with vector databases and retrieval systems.
• Understanding of model evaluation and deployment strategies.
• Experience balancing quality, latency, and infrastructure cost.

06. NICE TO HAVE

• RLHF / DPO / PPO experience.
• Multi-agent systems.
• Recommender systems at scale.
• MLOps tooling.
• AI safety / red-teaming experience.

07. WHAT WE OFFER

• Real ownership and direct impact on a global AI infrastructure product.
• Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.
• Exposure to cutting-edge AI, gaming platforms, and digital asset economies.
• Competitive salary with performance-based incentives.
• 24 days annual leave, plus public holidays.
• Health insurance.
• Modern office in Yas Creative Hub.
• Continuous learning through real-world problem solving — not just theory.
• The opportunity to shape what you're working on and influence product direction.
• A diverse, open-minded team where ideas are genuinely heard.