Senior AI Engineer

This is a fully remote position, open to applicants in Saudi Arabia.

📋 Description

• Create, develop, and launch full-stack applications that incorporate AI models, particularly LLMs for natural language processing, generation, and automation.

• Work collaboratively with cross-functional teams to quickly prototype and refine concepts.

• Utilize LangChain and LangGraph to construct stateful AI agents and multi-step workflows.

• Establish cloud infrastructure using AWS, Azure, or GCP for hosting, scaling, and managing AI applications, data pipelines, APIs, and deployment processes.

• Engage in live coding sessions and rapid development sprints.

• Enhance applications for optimal performance, security, and dependability.

• Diagnose and resolve issues across frontend interfaces, backend AI processes, and cloud deployments.

• Keep abreast of new AI tools and industry best practices.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline (or equivalent experience).

• At least 10+ years of experience in full-stack development.

• Strong knowledge of frontend technologies such as React.

• Proficient in backend technologies, including PHP and Laravel, Node.js, Python, Django, Flask, or FAST API.

• Familiarity with AI coding platforms and tools, such as Claude and OpenAI Cursor.

• Deep expertise with Large Language Models (LLMs), focusing on fine-tuning, prompting, and application integration.

• Practical experience with LangChain and LangGraph.

• Proven capabilities with cloud platforms like AWS, Azure, or GCP, encompassing compute, storage, databases, and AI/ML services such as SageMaker and Vertex AI.

• Demonstrated proficiency in live coding and rapid prototyping.

• Solid understanding of software engineering principles, including Git, CI/CD pipelines, and agile methodologies.

• Exceptional problem-solving abilities with the capacity to work independently or collaboratively under tight deadlines.

• Preferred: experience with Hugging Face Transformers, TensorFlow, or PyTorch.

• Preferred: knowledge of Docker and Kubernetes.

• Preferred: familiarity with Apache Airflow or Spark.

• Preferred: background in DevOps practices.

• Preferred: strong communication skills to articulate technical concepts to non-technical stakeholders.

🏝️ Benefits

• Competitive salary and benefits package.

• Opportunity to engage in cutting-edge AI projects that affect real-world applications.

• Flexible work environment with options for remote work.

• Professional development opportunities, including access to conferences and training.