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.
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.
Top Skills
What We Do
Founded in 2014, DoraHacks is a global leading hacker organization that acts as a bridge, connecting hackers to enterprise challenges and entrepreneurial ideas. DoraHacks has reached over 300,000 hackers worldwide, and hosted 100+ hackathons in 15 cities, spanning 8 countries with more than 400 partners.
DoraHacks has launched DoraHacks HackHub in 2019, which is an online platform that brings together global talents, including developers, technology practitioners, and entrepreneurs. The hub allows hackers to create a profile, communicate and collaborate with other hackers online from around the world, and participate in web-based hacks or competitions. Successful hackers are able to grow reputation, be rewarded with badges or credits, and have the opportunity to win prizes from global enterprise partners. Additionally, hackers will have a track record of their work and projects to show for their efforts.
