Senior AI Engineer — Rapid Prototyping with LLMs (Remote)

UXBERT Labs

Riyadh

Remote

SAR 1,200,000 - 1,900,000

Full time

14 days+

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Benefits offered by this job

Flexible work environment
Remote work options
Professional development opportunities

Job summary

UXBERT Labs in the GCC region is seeking an AI Engineer to join our rapid-growing design and AI practice. You will bridge innovative AI ideas with real-world applications, focusing on applying existing models and tools to build practical systems, not creating new algorithms from scratch.

You will develop full-stack apps that leverage LLMs and cloud tech, delivering production-ready solutions quickly. The ideal candidate thrives in a fast-paced environment, demonstrates hands-on experience with

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field.
  • 10+ years of full-stack development experience.
  • Strong expertise with LLMs and AI model integration.
  • Experience with LangChain and LangGraph.
  • Cloud platforms AWS/Azure/GCP.

Responsibilities

  • Bridge the gap between innovative AI ideas and real-world applications.
  • Build robust, scalable applications leveraging LLMs, full-stack development, and cloud tech.
  • Prototype quickly using LangChain and LangGraph for stateful AI workflows.
  • Collaborate with cross-functional teams for rapid prototyping and production-ready solutions.
  • Ensure performance, security, and reliability across the stack.
  • Stay updated on emerging AI tools and best practices.

Skills

React
Laravel
Node.js
Python
LangChain
LangGraph
AWS
Azure
GCP
LLMs
Fine-tuning

Education

Bachelor's or Master's in Computer Science or related field

Tools

Docker
Kubernetes
Apache Airflow
Spark
SageMaker
Vertex AI
Git
CI/CD

Job description

UXBERT Labs in the GCC region is seeking an AI Engineer to join our rapid-growing design and AI practice. You will bridge innovative AI ideas with real-world applications, focusing on applying existing models and tools to build practical systems, not creating new algorithms from scratch.

You will develop full-stack apps that leverage LLMs and cloud tech, delivering production-ready solutions quickly. The ideal candidate thrives in a fast-paced environment, demonstrates hands-on experience with

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