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AI Software Engineering Intern

United StatesRemoteInternshipJunior / Entry-level$19–$22 /hrPosted 2 months ago

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Role summary

This internship offers a unique opportunity to work at the intersection of Artificial Intelligence, Headless E-Commerce, and Architectural Technology (AEC). The intern will be responsible for optimizing high-performance backends, maintaining modern frontends, and developing AI models capable of interpreting complex architectural documents. Key responsibilities include enhancing FastAPI services, contributing to AI platforms with RAG and Computer Vision models, supporting headless e-commerce infrastructure on BigCommerce and Next.js, and building responsive interfaces with React and Tailwind CSS. The role requires proficiency in Python, experience with LLMs, ML fundamentals, cloud platforms, and performance optimization techniques.

We are looking for a technically proficient and highly collaborative AI Software Engineering Intern to join our development team. This position offers a unique opportunity to work at the intersection of Artificial Intelligence, Headless E-Commerce, and Architectural Technology (AEC). You will be responsible for optimizing high-performance backends, maintaining modern frontends, and developing AI models capable of interpreting complex architectural documents.

Key Responsibilities:

  • System Optimization: Enhance FastAPI services by implementing asynchronous programming, multiprocessing, and hardware-accelerated workflows to handle high-concurrency demands.
  • AI & Computer Vision: Contribute to the development of AI-driven platforms involving Retrieval-Augmented Generation (RAG) and Computer Vision models (such as YOLO or LayoutLM) for automated architectural drawing analysis.
  • E-Commerce Management: Support the maintenance and scaling of a headless e-commerce infrastructure built on BigCommerce (Catalyst) and Next.js, ensuring seamless API integrations.
  • Full-Stack Development: Build and refine responsive interfaces using React and Tailwind CSS while managing deployments via Vercel and other cloud platforms.

Required Qualifications & Skills:

  • Currently pursuing or recently completed a degree in Computer Science, AI, Software Engineering, or a related field.
  • Experience with Claude, ChatGPT, or other large language models (LLMs).
  • Proficiency in Python and experience with modern frameworks like FastAPI.
  • Familiarity with Node.js and React for building responsive, data-driven interfaces.
  • Understanding of Machine Learning fundamentals, specifically Computer Visionand LLM orchestration (RAG).
  • Knowledge of performance optimization techniques, including parallel computing and utilizing GPU/TPU acceleration.
  • Experience with Cloud Computing platforms (AWS, GCP, or Azure).

Preferred Soft Skills:

  • Collaborative Mindset: A "team-first" approach; we value developers who engage in pair programming and cross-functional brainstorming rather than working in silos.
  • Proactive Communication: Strong verbal and written communication skills with a commitment to transparent progress reporting and early identification of technical blockers.
  • Detail-Oriented: A meticulous approach to code quality, documentation, and system edge cases.
  • Adaptability: A high degree of coachability and a desire to work in a fast-paced, evolving technical landscape.
  • Architecture Background: An interest or background in Architecture, Engineering, or Construction (AEC) is a significant plus, as it assists in understanding floor plans and technical naming conventions.

What You’ll Gain:

  • Hands-on experience in AI-powered automation and ERP integration.
  • Opportunity to work with advanced AI models like Claude and ChatGPT.
  • Potential for full-time employment based on performance.

Application Requirements

To be considered for this role, please provide:

  • Resume/CV
  • GitHub Profile Link
  • Personal Website or Portfolio
  • Academic Transcript

Job Types: Part-time, Internship

Pay: $19.00 - $22.00 per hour

Compensation Package:

  • Performance bonus

Ability to Commute:

  • Remote (Preferred)

Ability to Relocate:

  • Remote: Relocate before starting work (Preferred)

Work Location: Remote

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