AI Engineers, Software Developers, and Full-Stack Innovators
- Elite Solutions
- الرياض السعودية
- Full-time
وصف الوظيفة
We are growing our teams focused on artificial intelligence and are in search of developers, engineers, and researchers eager to create the next generation of AI systems.<\/p>
Your expertise may lie in developing user interfaces, crafting back-end systems, training artificial intelligence models, or designing infrastructure. There’s a role for you with us!
There's no need for you to have everything figured out—our team will assist you. Simply review the roles outlined below and identify which area aligns with your skills and interests.
متطلبات الوظيفة
1. Front-End Developer
Designs and implements user-facing applications and dashboards.
Key Skills: React, JavaScript/TypeScript, TailwindCSS, Figma, UX principles.
2. 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.
3. 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.
4. Machine Learning Engineer
Deploys, fine-tunes, and maintains AI models in production.
Key Skills: PyTorch/TensorFlow, MLOps, model serving, inference optimization.
5. Data Engineer
Builds scalable data pipelines and manages datasets for training and evaluation.
Key Skills: Apache Airflow, Spark, SQL, Python, BigQuery, ETL systems.
6. Research Engineer
Bridges the gap between AI theory and implementation by building prototypes.
Key Skills: Python, ML libraries, LLM experimentation, rapid prototyping.
7. DevOps / Site Reliability Engineer (SRE)
Ensures reliability, monitoring, and automation across AI systems.
Key Skills: Kubernetes, Docker, Prometheus, CI/CD, Python/Bash.
8. Infrastructure Engineer
Designs and maintains the cloud infrastructure supporting AI training and deployment.
Key Skills: AWS/GCP, Terraform, distributed systems, cost optimization.
9. Security Engineer
Secures the platforms and services powering our AI stack.
Key Skills: Cloud security, identity management, penetration testing, audits.
10. 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.