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AI Full-stack engineermicro1 • Saint Paul, Illinois, United States
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AI Full-stack engineer

micro1
  • US
    Saint Paul, Illinois, United States
  • US
    Saint Paul, Illinois, United States
Postuler Maintenant

À propos

Job Title: AI Full-stack Engineer Job Type: Full-time (Contractor) Location: Remote Job Summary: Join our customer's team as an AI Full-stack Engineer, where you'll architect and deliver innovative AI-driven applications with end-to-end responsibility. Work remotely in a dynamic environment, collaborating with passionate technologists and stakeholders to bring transformative solutions to life.
Key Responsibilities:
Design, develop, and maintain scalable web applications using React.js, Node.js, and Python frameworks (FastAPI, Flask, or Django).
Integrate AI and machine learning models into full-stack solutions, ensuring seamless performance and maintainability.
Collaborate cross-functionally to define, design, and implement features based on business and user requirements.
Write clean, efficient, and well-documented code while adhering to best practices in software engineering.
Optimize application performance and troubleshoot issues across the stack.
Contribute to architectural decisions and participate in code reviews to ensure code quality and security standards.
Deliver clear and effective written and verbal communication within a distributed team environment.
Required Skills and Qualifications:
Proven experience with React.js and Node.js in production environments.
Strong proficiency in Python, with hands-on expertise in FastAPI, Flask, or Django.
Demonstrated ability to work across the full stack, integrating front-end and back-end systems.
Solid understanding of RESTful APIs, web services, and cloud deployment strategies.
Exceptional written and verbal communication skills, with an emphasis on clarity and collaboration.
Ability to work independently in a remote, fast-paced setting while managing multiple priorities.
Track record of delivering high-quality, maintainable solutions in agile teams.
Preferred Qualifications:
Experience deploying AI/ML models in production environments.
Familiarity with containerization technologies like Docker and cloud platforms (AWS, Azure, GCP).
Background in designing secure, scalable web architectures for AI-powered products.
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  • Saint Paul, Illinois, United States

Compétences linguistiques

  • English
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