AI Solutions Engineer: LLM, Cloud & Automation Lead
Gulf University
Bahrain
On-site
BHD 22,560 - 30,080
Full time
14 days+
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Job summary
Gulf University in Bahrain is seeking a highly skilled AI Solutions Engineer to lead AI initiatives from design to deployment. The ideal candidate will have 4-5 years of experience in AI development, strong knowledge in machine learning frameworks, and API integration. Responsibilities include building generative AI solutions and optimizing workflows. A Bachelor's degree in a relevant field is required, and the role involves mentoring junior developers. This is a full-time on-site position with a focus on high-quality code delivery.
Qualifications
4-5 years of AI development experience with server management and Git version control.
Database design and query optimization skills are essential.
Leadership and junior developer mentoring experience is required.
Responsibilities
Lead university AI initiatives from design through deployment.
Build and deploy generative AI and LLM pipelines.
Optimize workflows and automate university processes.
Skills
AI/ML Development
Generative AI & LLM Pipelines
Cloud AI Platforms
Automation & Workflow Optimization
Git Version Control
API Integration
Azure DevOps
Project & Deadline Management
Complex Database Queries
Dashboards & Reports
Communication & Collaboration
Leadership & Mentorship
Education
Bachelor's degree in computer science, engineering, AI, data science, or related field
Master's or bachelor's degree in computer science/engineering
Tools
Azure DevOps
RESTful API
SOAP API
Job description
Gulf University in Bahrain is seeking a highly skilled AI Solutions Engineer to lead AI initiatives from design to deployment. The ideal candidate will have 4-5 years of experience in AI development, strong knowledge in machine learning frameworks, and API integration. Responsibilities include building generative AI solutions and optimizing workflows. A Bachelor's degree in a relevant field is required, and the role involves mentoring junior developers. This is a full-time on-site position with a focus on high-quality code delivery.