\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
Apply for this job
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with “how to work online” are also scams. Don’t use them or pay for them. Also always verify you’re actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it’s the actual company’s main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Leave a Reply