12 AI Engineer jobs in United Arab Emirates available for remote work from home. Apply for positions such as Lead AI Engineer, Founding AI Engineer, Applied AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Lead AI Engineer will serve as a strategic advisor to C-level executives, driving the technical vision and successful delivery of complex AI programs. They are responsible for establishing architectural best practices, managing technical risk, and ensuring high customer satisfaction across the professional services portfolio.
Own and scale the agent layer and matching engine for an AI-first fundraising platform. This includes building conversational agents for investor outreach and managing the backend data pipelines.
Own the conversation layer of an AI fundraising platform, managing agents that handle replies, booking, and relationship nurture. Build broader applied-AI features including classification, extraction, and the evaluation framework to ensure quality.
The role involves building and evolving the core AI tutoring system, focusing on prompt architectures, agentic workflows, and real-time adaptive learning behaviors. Responsibilities also include running rigorous experimentation, designing scalable software integrations, and collaborating cross-functionally to implement pedagogical goals.
The role involves building and evolving the core AI tutoring system, focusing on prompt architectures, agentic workflows, and real-time adaptive behaviors. Responsibilities also include running rigorous experimentation, designing scalable software integrations, and collaborating cross-functionally to translate pedagogical goals into technical solutions.
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Build and evolve the core AI tutoring system, including prompt architectures and real-time adaptive behaviors. Collaborate cross-functionally to translate pedagogical goals into technical solutions.
The role involves leading end-to-end deployment of edge AI infrastructure and serving as the primary technical account owner for customers in the Middle East. You will drive platform adoption, operational maturity, and expansion while maintaining long-term technical relationships with customer stakeholders.
The role involves designing and building enterprise-grade MVP agentic AI applications to demonstrate platform value to prospective customers. You will translate business problems into technical solutions and deliver outcome-oriented demos to accelerate platform adoption.
Design, build, and operationalize agentic AI solutions embedded within enterprise client environments. Lead technical discovery and integrate AI systems with platforms of record while ensuring production-grade governance and observability.
The engineer will own the inference backbone for QVAC's local AI stack, focusing on the C++ systems layer to ensure models run fast, reliably, and predictably on user hardware. Responsibilities include porting and enhancing inference engines like llama.cpp and ONNX to run efficiently on edge devices, focusing on runtime stability and performance.
The role involves building observability, automation, and AIOps foundations while participating in root cause analysis and support insights. You will also prototype lightweight agents and optimize workflows within incident management tooling.
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