• AI Engineer Intern (Remote)

    FocusKPI Inc. (Boston, MA)


    DO NOT CALL US. We only consider your application if you submit your resume and a brief cover letter outlining your experience with relevant projects, coursework/work experience, and why you’re interested in this role to [email protected].

    Description:

    We’re looking for an AI Engineer Intern who is eager to learn, experiment with new technologies, and apply AI to real-world problems. This internship is designed as a 3-month hands-on experience with the potential to transition into a full-time role based on performance.

    The ideal candidate is someone who:

    + Builds with a modular mindset, creating reusable components.

    + Leverages AI tools (e.g., Cursor, Copilot) to accelerate learning and development.

    + Cares about user needs and delivering practical, impactful solutions.

    Responsibilities:

    + Design, develop, and deploy AI-powered solutions for real-world applications.

    + Build modularized architectures to ensure components are reusable across projects.

    + Use AI-powered coding assistants (Cursor, Copilot, etc.) to enhance productivity.

    + Explore and integrate new AI/LLM frameworks, APIs, and data sources.

    + Collaborate with the team to refine workflows and ensure outputs are reliable and user-centered.

    Requirements:

    + Master’s or PhD in Computer Science, AI/ML, or a related field, OR equivalent level of work experience.

    + Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, or similar).

    + Familiarity with LLM-based systems, prompt engineering, and API integration.

    + Understanding of modular software design and reusable system components.

    + Cloud deployment experience (AWS, GCP, or Digital Ocean).

    + Curiosity and openness to learning quickly, especially by using AI tools to accelerate work.

    Nice to Have:

    + Experience with multi-agent systems or orchestration frameworks.

    + Background in data processing, file/image analysis, or workflow automation.

    + Awareness of compliance, reliability, and scaling challenges.

     

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