About the Role We are looking for an AI/ML Backend Engineer to join our technical team and help build the foundation of an AI-powered product from the ground up. This is a hands-on role for someone who can work across AI model fine-tuning, backend development, data pipelines, APIs, and MLOps. You will be responsible for helping turn early AI experiments into a reliable, scalable product ready for production. A key part of this role is working with Unsloth for efficient model fine-tuning and optimization. We are looking for someone who understands how to fine-tune models practically, improve performance, and prepare AI systems for real product use. You will work closely with the Product Manager and the data team during the first development phase, then help move the product toward launch and long-term growth. What You Will Do Prepare, clean, and structure datasets for AI model training and evaluation. Fine-tune AI models using Unsloth as a core tool. Work with modern fine-tuning techniques such as LoRA, QLoRA, PEFT, supervised fine-tuning, and dataset formatting. Build and improve ML pipelines for training, testing, deployment, and monitoring. Develop backend services using Python and FastAPI. Design and manage databases needed for the core product. Build secure, well-documented, and scalable APIs to connect AI models with future web and mobile applications. Deploy and maintain AI models in a production-oriented environment. Apply practical MLOps practices such as experiment tracking, model versioning, deployment, monitoring, and performance evaluation. Work closely with the Product Manager to turn business requirements into technical solutions. Participate in daily standups, sprint planning, and product discussions. Take ownership of technical decisions during the early stage of the product.