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Junior Full Stack Engineer AI Focus DoraHacks. As a Junior Full Stack Engineer specializing in AI, you will work on both backend and AI-driven tasks, designing scalable systems while integrating advanced AI models and technologies into our platform. Your responsibilities will span from developing robust backend systems to implementing and fine-tuning AI models such as Llama and neural networks.. This is a high-impact role where you'll be expected to bridge traditional backend engineering with cutting-edge AI techniques to enhance our product offerings. You will be responsible for both AI application layer integration and general backend development.. This position will be remote initially, with a possible transition to a hybrid work model in California soon.. \n. Key Responsibilities. Backend Development:. Design and develop scalable, reliable, and performant backend systems, APIs, and services.. AI Integration:. Implement, fine-tune, and deploy AI models (e.g., Llama) into our application layer, ensuring seamless integration with our platform.. Model Fine-tuning:. Work directly with AI models, including fine-tuning pre-trained models, evaluating model performance, and optimizing for production use.. AI Application Development:. Develop and deploy AI-powered features and applications, with a strong emphasis on neural networks and advanced AI techniques.. System Optimization:. Monitor, test, and optimize AI applications and backend systems for performance, scalability, and reliability.. Stay Current:. Continuously improve your understanding of AI and machine learning concepts, neural networks, and related technologies.. Requirements. Bachelor’s or Master's degree in Computer Science, Engineering, or related field.. 1-2 years of experience in full-stack or backend software engineering.. Proven experience in applying AI technologies, including neural networks, and familiarity with model fine-tuning.. Technical Skills. Strong proficiency in backend technologies (e.g.,. Node.js. , Python, Java, Go).. Solid understanding of AI/ML fundamentals, including neural networks, deep learning, and model training.. Hands-on experience with Llama or other transformer-based models and fine-tuning techniques.. Familiarity with cloud platforms (AWS, GCP, or Azure) for AI model deployment.. Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.. Preferred Qualifications. Experience with large-scale distributed systems.. Contributions to open-source projects or involvement in AI research.. Familiarity with blockchain technologies is a plus, as our products are closely integrated with blockchain ecosystems.. Mandarin is preferred, but not required.. \n. $130,000 - $150,000 a year. \n. Please mention the word **THRIFTY** and tag RMTA0LjE1NC4yMDcuNTI= when applying to show you read the job post completely (#RMTA0LjE1NC4yMDcuNTI=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human..