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Senior AI Engineer

2 months, 2 weeks ago
Saudi Arabia
Full-time
Lead
AI Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Azure BERT CI/CD Django Docker FastAPI Flask GCP Git GPT Kubernetes Laravel LLM Node.js PHP Python PyTorch React SageMaker TensorFlow Vertex AI
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UXBERT Labs

UXBERT Labs

Digital UI/UX Design & Development Based in Riyadh| UXBERT Labs Award winning specialists in User Research, UI/UX Design & Digital Platforms Development. Check our services for a complete Transformation| KSA, UAE & UK Saudi Arabia's 1st #UX, #Usability...

Professional Services
51-250
Founded 2012
View All Jobs 2

Description

  • Design, develop, and deploy full-stack applications that integrate AI models and LLMs.
  • Collaborate with cross-functional teams to rapidly prototype and iterate on ideas.
  • Use LangChain and LangGraph to build stateful AI agents and multi-step workflows.
  • Implement cloud-based infrastructure for hosting, scaling, and managing AI applications.
  • Participate in live coding sessions and rapid development sprints to refine solutions in real time.
  • Optimize applications for performance, security, and reliability.
  • Troubleshoot and debug issues across frontend, backend, AI logic, and cloud deployments.
  • Stay current on emerging AI tools and best practices to improve development efficiency.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent experience.
  • 10+ years of experience in full-stack development.
  • Proficiency with frontend technologies such as React.
  • Experience with backend technologies such as PHP, Laravel, Node.js, Python, Django, Flask, or FastAPI.
  • Working knowledge of AI coding platforms and tools such as Claude, OpenAI, and Cursor.
  • Strong expertise with LLMs such as GPT or BERT, including fine-tuning, prompting, and integration into applications.
  • Hands-on experience with LangChain and LangGraph.
  • Proven ability with cloud platforms such as AWS, Azure, or GCP, including services like SageMaker or Vertex AI.
  • Demonstrated skills in live coding and rapid prototyping.
  • Understanding of Git, CI/CD pipelines, and agile methodologies.
  • Experience with Hugging Face Transformers, TensorFlow, or PyTorch is preferred.
  • Knowledge of Docker and Kubernetes is preferred.
  • Familiarity with Apache Airflow or Spark is preferred.
  • Background in DevOps practices is preferred.
  • Strong communication skills for explaining technical concepts to non-technical stakeholders.

Benefits

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge AI projects with real-world impact.
  • Flexible work environment with remote options.
  • Professional development support, including access to conferences and training.

Interested in this position?

Apply directly on the company website

Apply Now

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