AI Engineers, Software Developers, and Full-Stack Innovators

Elite Solutions; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job description

We are expanding our AI-driven teams and hiring developers, engineers, and researchers who are passionate about building the next generation of artificial intelligence systems.

Whether your strength lies in building user interfaces, developing back-end logic, training AI models, or designing infrastructure, we have a place for you! You don’t need to know exactly where you fit—we’ll guide you. Just read the descriptions below and tell us which area matches your skills and interests best.

• Front-End Developer - Designs and implements user-facing applications and dashboards.
  Key Skills: React, JavaScript/TypeScript, TailwindCSS, Figma, UX principles.
• Back-End Developer - Builds APIs and server-side systems that power AI tools and data pipelines.
  Key Skills: Python, FastAPI, Go, SQL/NoSQL, REST/GraphQL.
• Full-Stack Engineer - Develops end-to-end applications connecting front-end interfaces with back-end AI logic.
  Key Skills: Combination of Front-End and Back-End skills, API design, CI/CD.
• Machine Learning Engineer - Deploys, fine-tunes, and maintains AI models in production.
  Key Skills: PyTorch/TensorFlow, MLOps, model serving, inference optimization.
• Data Engineer - Builds scalable data pipelines and manages datasets for training and evaluation.
  Key Skills: Apache Airflow, Spark, SQL, Python, BigQuery, ETL systems.
• Research Engineer - Bridges the gap between AI theory and implementation by building prototypes.
  Key Skills: Python, ML libraries, LLM experimentation, rapid prototyping.
• DevOps / Site Reliability Engineer (SRE) - Ensures reliability, monitoring, and automation across AI systems.
  Key Skills: Kubernetes, Docker, Prometheus, CI/CD, Python/Bash.
• Infrastructure Engineer - Designs and maintains the cloud infrastructure supporting AI training and deployment.
  Key Skills: AWS/GCP, Terraform, distributed systems, cost optimization.
• Security Engineer - Secures the platforms and services powering our AI stack.
  Key Skills: Cloud security, identity management, penetration testing, audits.
• AI Researcher (LLM / CV / RL) - Conducts experiments to advance the science behind our models (e. g., LLMs, computer vision, reinforcement learning).
  Key Skills: Research publications, advanced ML theory, model development, experimentation.