Generative AI Intern

MediNex Workforce; United States; Remote; USD 28,000 - 48,000; Full time

Benefits offered by this job

Certificate of completion

Job summary

MediNex Workforce is seeking a remote, full-time intern for 1–3 months to develop AI features for recruitment workflows. You'll work on prototype Python applications using AI APIs to summarize, extract, and chat, while refining prompts and testing results.

Ideal candidates are final-year students or recent graduates with Python ability, knowledge of training/testing concepts, and exposure to Pandas, NumPy, scikit-learn, LangChain, and AI APIs. Bring a laptop and be available full-time.

Qualifications

• Final-year student or recent graduate with demonstrable work
• Relevant studies: engineering, computing, mathematics, statistics
• Python ability and introductory understanding of training, testing and overfitting

Responsibilities

• Prototype Python applications using AI APIs for recruitment workflows.
• Design and refine prompts, then test responses.
• Evaluate accuracy, consistency and bias and record outcomes.
• Clean and label example information for testing.
• Explore document and email automation and document experiments in GitHub

Skills

Python

Training/testing basics

Education

Final-year student or recent graduate

Engineering / Computing / Math / Stats

Tools

Pandas

NumPy

scikit-learn

LangChain

AI API experience

Job description

About the role:

• Work remotely and full time for one to three months on AI features for recruitment workflows.
• Example inputs include resumes, job descriptions, client messages and interview notes.

What you'll work on:

• Prototype Python applications using AI APIs, including summarisation, extraction and chat features.
• Design and refine prompts, then test the resulting responses.
• Evaluate accuracy, consistency and bias and record the outcomes.
• Clean and label example information for testing.
• Explore document and email automation while documenting experiments in GitHub.

What we're looking for:

• Final-year students, recent graduates or self-taught applicants with demonstrable work may apply.
• Relevant studies include engineering, computing, mathematics, statistics and related disciplines.
• Python ability and introductory understanding of training, testing and overfitting are requested.
• Pandas, NumPy, scikit-learn, LangChain and AI API experience are helpful extras.
• Bring a laptop, stable internet and full-time availability.

Good to know:

• Expect daily check-ins and weekly reviews; work is Monday to Saturday or as assigned.
• Guidance, presentable experiments and a completion certificate are advertised.