AI Engineer
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Key skills for this role
About the Role
Involved Solutions is hiring an AI Engineer for a leading technology-driven business in the UAE. You will design, build, and deploy production-grade AI/ML systems, including LLM-based applications, RAG pipelines, and agentic workflows.
Key Skills for This Role
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
Requirements
- 3 to 5 years of hands on experience in AI or ML engineering, with a clear track record of deploying systems into production
- Strong Python skills and practical experience with modern AI frameworks including TensorFlow, PyTorch or Hugging Face
- Hands on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvector
- Familiarity with orchestration frameworks such as LangChain or LlamaIndex and agentic system patterns
- Solid understanding of cloud platforms including AWS, Azure or GCP and how AI systems are deployed and maintained at scale
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.
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
About You
- 3 to 5 years of hands on experience in AI or ML engineering, with a clear track record of deploying systems into production
- Strong Python skills and practical experience with modern AI frameworks including TensorFlow, PyTorch or Hugging Face
- Hands on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvector
- Familiarity with orchestration frameworks such as LangChain or LlamaIndex and agentic system patterns
- Solid understanding of cloud platforms including AWS, Azure or GCP and how AI systems are deployed and maintained at scale
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