AI Engineer
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Key skills for this role
About the Role
Design, build, and deploy production-grade AI and machine learning systems, requiring strong Python skills and experience with modern AI frameworks and cloud platforms.
Key Skills for This Role
Responsibilities
- Design, build and deploy production grade AI and ML systems across business use cases
- Develop and maintain LLM based applications including RAG pipelines, agentic workflows and tool use systems
- Build and integrate APIs, orchestration layers and data pipelines connecting AI components into platform architecture
- Work with vector databases, embedding models and retrieval frameworks to build scalable AI solutions
- Ensure deployed systems meet production standards for performance, reliability, observability and cost efficiency
- Collaborate with product, data and engineering stakeholders to translate business problems into AI solutions
- Stay current with emerging AI techniques and contribute new thinking to the team
Requirements
- 3 5 years of experience in AI/ML engineering
- Hands on experience building and deploying production AI systems
- Experience with LLM based applications, RAG pipelines, and agentic workflows
- Proficiency in building APIs, orchestration layers, and data pipelines
- Experience with vector databases and embedding models
Full Job Posting
About the Role
- We have partnered with a leading technology driven business in the UAE to hire an AI Engineer.
- This is a hands on engineering role for someone who builds things that ship.
- You will work on real AI systems in production, not prototypes that live in a slide deck.
Key Responsibilities
- Design, build and deploy production grade AI and ML systems across a range of business use cases, owning delivery from concept through to production.
- Develop and maintain LLM based applications including RAG pipelines, agentic workflows and tool use systems.
- Build and integrate APIs, orchestration layers and data pipelines that connect AI components into broader platform architecture.
- Work with vector databases, embedding models and retrieval frameworks to build accurate, scalable AI solutions.
- Ensure deployed systems meet production standards across performance, reliability, observability and cost efficiency.
- Collaborate with product, data and engineering stakeholders to translate business problems into well architected AI solutions.
- Stay current with emerging AI techniques and contribute new thinking to the team.
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