Senior AI Engineer
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Key skills for this role
About the Role
Dizzaract is looking for a Senior AI Engineer to design and ship production AI systems for GAMED, focusing on recommendation systems, AI-driven moderation, retrieval systems, and agentic workflows.
Key Skills for This Role
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
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
Full Job Posting
About the Company
- Dizzaract is a product driven company operating at the intersection of gaming, digital platforms, and AI.
- We build and scale multiple products — including Farcana, Gamed, and FAR Labs — each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use.
- We operate as a collaborative, non hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build — from infrastructure to product decisions.
About the Role
- We’re looking for a Senior AI Engineer to design and ship production AI systems powering GAMED.
- This role focuses on applied AI — not research for the sake of research.
- You’ll work on recommendation systems, AI driven moderation, retrieval systems, agentic workflows, ranking systems, and player facing AI features integrated directly into the product ecosystem.
- You’ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.
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.
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.
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.
Nice to Have
- RLHF / DPO / PPO experience.
- Multi agent systems.
- Recommender systems at scale.
- MLOps tooling.
- AI safety / red teaming experience.
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.
Work Location
- In person
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