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.

$130,000 - $150,000 a year

Salary and compensation

																										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:


																																							 $40,000 — $80,000/year

Benefits

												💰 401(k)

🌎 Distributed team

⏰ Async

🤓 Vision insurance

🦷 Dental insurance

🚑 Medical insurance

🏖 Unlimited vacation

🏖 Paid time off

📆 4 day workweek

💰 401k matching

🏔 Company retreats

🏬 Coworking budget

📚 Learning budget

💪 Free gym membership

🧘 Mental wellness budget

🖥 Home office budget

🥧 Pay in crypto

🥸 Pseudonymous

💰 Profit sharing

💰 Equity compensation

⬜️ No whiteboard interview

👀 No monitoring system

🚫 No politics at work

🎅 We hire old (and young)

Location

United States