About the Role
We are seeking an elite Senior AI Engineer to act as a key technical consultant and implementation lead for our most important clients in the Middle East. The ideal candidate will be a hands-on architect and developer, capable of designing and demonstrating bespoke AI solutions that solve complex business problems. You will serve as the bridge between our core engineering teams and our clients, translating their needs into technical specifications and leading the implementation of cutting-edge AI stacks.
This role requires a unique combination of deep technical expertise, strategic thinking, and excellent client-facing skills. It also requires a significant commitment to international travel.
Key Responsibilities:
Serve as the primary technical liaison for key clients, consulting on AI architecture, best practices, and implementation strategy.Architect and build proof-of-concept and production-grade AI applications tailored to specific client use cases, including demos.Design and implement solutions leveraging LLMs, RAG, and custom AI models.Lead the integration of various AI and graphical technologies into seamless, interactive experiences for client projects.Develop and manage cloud-native infrastructure (IaC) to support AI services.Build and maintain robust CI/CD pipelines for deploying AI applications.Work closely with clients in-person in Riyadh, KSA, to ensure project success, providing hands-on guidance and support.
Mandatory Requirement:
Willingness and ability to travel extensively to Riyadh, KSA, and potentially Dubai/Abu Dhabi, UAE. Expected travel schedule involves being on-site for 4-to-6-week periods continuously throughout the year.
Highlighted Technologies and Tools:
AI: Deep experience with LLMs, RAG, LangChain, LangGraph. Familiarity with fine-tuning (LoRA), and hardware platforms like Nvidia Jetson is a strong plus.Languages: Expert-level Python and Java. Proficiency in Javascript/Typescript, SQL, and C++.Cloud Platforms: Strong proficiency with cloud environments, specifically Google Cloud Platform, Microsoft Azure, and Amazon Web Services (AWS)Backend Frameworks: Experience with enterprise-level frameworks like Spring Boot, python with FastAPI, etc.Frontend Frameworks: Experience with modern frameworks such as React and/or Angular.CI/CD: Demonstrable experience building and managing pipelines using tools like Jenkins, Gitlab CI/CD, Github Actions, or similar.Other Tools: Hands-on experience with Docker, Kubernetes, and data migration tools like Apache Airflow.
Qualifications:
Experience: 10+ years of professional software engineering experience, with a significant focus on AI/ML in the last few years.Education: BS in Computer Science or a related technical field.Proven track record of architecting and delivering complex, full-stack AI solutions.Experience in a client-facing or consulting role is highly desirable.Exceptional problem-solving skills and the ability to work independently in a dynamic, fast-paced environment.