Job title: Senior AI Engineer
Job type: Permanent
Emp type: Full-time
Industry: Web3/Gaming/Digital Assets
Salary type: Annual
Salary: Negotiable
Location: Dubai, AE
Job published: 12/10/2026
Job ID: 285536

Job Description

Edison Smart is working with an innovative, technology-driven business looking to appoint a Senior AI Engineer to help design, build and scale production-grade AI solutions. This is an opportunity to join a lean, highly technical environment where you'll have genuine ownership over the development and deployment of AI-driven systems. We're looking for someone who enjoys solving complex engineering challenges, takes ownership from concept through to production and thrives in a fast-moving environment.

Key Responsibilities

  • Design, develop and deploy scalable AI/ML solutions into production environments.

  • Build intelligent automation systems to improve operational efficiency and decision-making.

  • Develop and optimise AI architectures supporting real-time data processing and complex workflows.

  • Build and maintain robust data pipelines, model training and deployment infrastructure.

  • Integrate AI capabilities into existing applications, APIs and backend services.

  • Implement secure development practices, access controls and reliable testing environments.

  • Monitor and optimise model performance, reliability and scalability.

  • Work closely with engineering and product stakeholders to deliver commercially valuable AI solutions.

  • Explore emerging technologies, including LLMs, agentic AI and intelligent automation.


Technical Requirements

  • 5+ years of experience in AI/ML Engineering, Software Engineering or a related discipline.

  • Strong hands-on Python development experience.

  • Proven track record of deploying and maintaining AI/ML solutions in production.

  • Experience with machine learning frameworks such as PyTorch, TensorFlow or similar.

  • Strong understanding of APIs, cloud infrastructure and distributed systems.

  • Experience building scalable data pipelines and integrating AI into existing platforms.

  • Good understanding of software security, system reliability and engineering best practices.

  • Experience with LLMs, NLP or AI-driven automation would be advantageous.

  • Comfortable working independently and taking ownership of technical delivery