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

fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Junior (1-2 years)

Work from:

United States

Offer summary

Qualifications:

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., Experience with neural networks and model fine-tuning., Proficiency in backend technologies such as Node.js, Python, Java, Go..

Key responsabilities:

Design and develop scalable backend systems.
Implement and fine-tune AI models into applications.

DoraHacks Startup https://dorahacks.io

11 - 50 Employees

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Job description

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.