Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

About Us

amplify human potential

Role Overview

AI Intern

learn, experiment, and build

Key Responsibilities

  • Assist in building and fine-tuning AI/ML models (LLMs, recommendation engines, NLP, etc.).
  • Support integration of AI features into our platform (e.g., Co-Guru, APEX™ assessments, document writers).
  • Research emerging AI tools and frameworks (e.g., LangChain, OpenAI, Gemini, vector databases) and provide insights for adoption.
  • Help design conversational AI prompts, workflows, and evaluation strategies.
  • Work with the engineering team to clean, label, and prepare datasets.
  • Document experiments, findings, and best practices to build internal AI knowledge.
  • Collaborate with product managers and mentors to align AI solutions with user needs.

Requirements

  • Currently pursuing a degree in

    Computer Science, AI/ML, Data Science, or related field

    .
  • Basic understanding of

    Python

    , ML libraries (TensorFlow, PyTorch, scikit-learn), or LLM frameworks.
  • Familiarity with

    APIs, databases, and cloud services

    (AWS/GCP/Azure is a plus).
  • Strong interest in

    Generative AI, NLP, and applied machine learning

    .
  • Analytical mindset with eagerness to learn and experiment.
  • Good communication skills and ability to work in a collaborative, remote-first team.

Preferred (Nice to Have)

  • Hands-on experience with

    LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS)

    .
  • Exposure to

    AI ethics, bias mitigation, and responsible AI frameworks

    .
  • Prior projects (academic or personal) in

    chatbots, recommendation systems, or predictive analytics

    .

What You’ll Gain

  • Real-world exposure to

    AI product development in a startup environment

    .
  • Mentorship from experienced engineers and AI innovators.
  • Opportunity to contribute to features that directly impact users.
  • Potential pathway to a

    full-time AI Engineer role

    upon successful completion.

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