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\nAs 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.\n\n\nThis 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.\n\n\nThis position will be remote initially, with a possible transition to a hybrid work model in California soon.\n\n\n\nKey Responsibilities\n* Backend Development: Design and develop scalable, reliable, and performant backend systems, APIs, and services.\n* AI Integration: Implement, fine-tune, and deploy AI models (e.g., Llama) into our application layer, ensuring seamless integration with our platform.\n* Model Fine-tuning: Work directly with AI models, including fine-tuning pre-trained models, evaluating model performance, and optimizing for production use.\n* AI Application Development: Develop and deploy AI-powered features and applications, with a strong emphasis on neural networks and advanced AI techniques.\n* System Optimization: Monitor, test, and optimize AI applications and backend systems for performance, scalability, and reliability.\n* Stay Current: Continuously improve your understanding of AI and machine learning concepts, neural networks, and related technologies.\n\n\n\nRequirements\n* Bachelor’s or Master's degree in Computer Science, Engineering, or related field.\n* 1-2 years of experience in full-stack or backend software engineering.\n* Proven experience in applying AI technologies, including neural networks, and familiarity with model fine-tuning.\n\n\n\nTechnical Skills\n* Strong proficiency in backend technologies (e.g., Node.js, Python, Java, Go).\n* Solid understanding of AI/ML fundamentals, including neural networks, deep learning, and model training.\n* Hands-on experience with Llama or other transformer-based models and fine-tuning techniques.\n* Familiarity with cloud platforms (AWS, GCP, or Azure) for AI model deployment.\n* Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.\n\n\n\nPreferred Qualifications\n* Experience with large-scale distributed systems.\n* Contributions to open-source projects or involvement in AI research.\n* Familiarity with blockchain technologies is a plus, as our products are closely integrated with blockchain ecosystems.\n* Mandarin is preferred, but not required.\n\n\n\n\n\n$130,000 - $150,000 a year\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Junior, Engineer and Backend jobs that are similar:\n\n
$40,000 — $80,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUnited States
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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