About Tamm

Tamm operates as an all-in-one e-commerce platform designed for online selling across Saudi Arabia. The platform provides sellers with essential tools including a storefront, payment processing, ZATCA-compliant e-invoicing, and delivery services. Additionally, Tamm manages its own print-on-demand factory in Dammam, which enables individuals to launch brands without requiring inventory or significant capital. The core mission is to transform designs into viable businesses on demand, eliminating the need for warehouses, upfront costs, or associated risks.

The Role: AI Research Engineer

Tamm is seeking an AI Research Engineer to join its team in Saudi Arabia. This is a full-time, 100% remote position suitable for candidates with 0-1 years of experience. The primary focus of this role is to own and develop the model layer that ensures Tamm's AI capabilities are production-ready. This involves the fine-tuning, evaluation, and deployment of AI models for various real-world product applications across the platform.

Key Responsibilities

• Fine-tune, evaluate, and deploy AI models for specific product use cases, including the seller assistant, generative design and copy, and the agentic store builder.
• Develop and maintain the evaluation harness to ensure consistent model quality as features are shipped.
• Optimize the model layer to enhance quality, reduce latency, and manage cost efficiency.
• Collaborate closely with the product team to ensure that research initiatives translate into implemented features.

Required Qualifications

Candidates should be Applied ML / LLM engineers with practical experience in model fine-tuning and deployment.

• Strong proficiency in Python and the ML stack, including PyTorch, Hugging Face, and similar frameworks.
• An evaluation-first mindset, emphasizing measurement before deployment.
• A production-focused approach to development, prioritizing practical application over theoretical concepts.
• Comfort across the entire model lifecycle, encompassing data handling, training, serving, and monitoring.

Preferred Skills and Experience

• Experience with RAG (Retrieval-Augmented Generation) and retrieval systems.
• Expertise in inference optimization techniques.
• Prior experience with model hosting on platforms such as AWS or Kubernetes.
• Sufficient knowledge of TypeScript to facilitate integration with product development.

Work Environment

The team operates as a small, senior, and fast-paced unit. Individuals in this role are expected to own outcomes rather than solely managing tasks. AI is leveraged to handle significant development efforts, which minimizes busywork and reduces the need for frequent meetings. This is a 100% remote, full-time position.