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

Join DoraHacks and build the coolest & fastest-growing hackathon community platform and open-source ecosystem funding protocols.


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.

  • Fluent in Mandarin

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.


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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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Full-time, on-site
DATE POSTED
April 21, 2025

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