Full Stack Engineer - AI Focus (Backend + AI Applications)

As a 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.

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. 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.

$130,000 - $220,000 a year