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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 logo
DoraHacks Startup https://dorahacks.io
11 - 50 Employees
See all jobs

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.

    • 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.
    •

    Required profile

    Experience

    Level of experience: Junior (1-2 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    AI/ML InferenceJava (Programming Language)KubernetesDeep LearningPython (Programming Language)gRPCCI/CDArtificial Neural NetworksNode.js (Javascript Library)Amazon Web ServicesGo (Programming Language)Docker (Software)Microsoft AzureAI TestingDistributed ComputingBlockchain

    Other Skills

    • Teamwork
    • Communication
    • Problem Solving
    Are you interested?

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