Internship opportunity · Applied AI

AI Engineer Intern

Support practical AI experiments and application prototypes. Learn how data, model APIs, evaluation and product safeguards come together in useful AI features.

Job ID:GC-IN-003
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Employment typeInternship
Job referenceGC-IN-003
Role familyApplied AI
Candidate profileStudent / early-career
About the opportunity

What this role is about

Support practical AI experiments and application prototypes. Learn how data, model APIs, evaluation and product safeguards come together in useful AI features.

GrapeCrux values practical problem-solving, clear communication and responsible engineering. The work is shaped around business needs, user outcomes and the quality of the solution delivered.

What you'll do

Responsibilities

  • Assist with Python prototypes and approved model API integrations.
  • Prepare small datasets, examples or test cases for an AI task.
  • Compare model outputs and record quality, latency and reliability observations.
  • Help build retrieval, document-processing or automation workflows.
  • Add validation, error handling and tests to prototype code.
  • Document experiments, results, limitations and next steps.
What you should bring

Required skills and experience

  • Basic Python programming and familiarity with functions and debugging.
  • Introductory understanding of machine learning, generative AI or data processing.
  • Basic API and JSON concepts.
  • Ability to explain a project or learning exercise.
  • Careful data handling and interest in responsible AI practices.
Additional strengths

Helpful experience

  • Projects using pandas, scikit-learn, notebooks or model APIs.
  • Embeddings, retrieval, vector search or prompt evaluation.
  • Git, FastAPI or frontend integration.
How contribution is assessed

What success can look like

  • Experiments are reproducible and conclusions use observed results.
  • Prototype code is readable and validated.
  • Limitations and risks are communicated.
Recruitment information

Terms and working arrangements

Internship structure, duration, any stipend or compensation, work location and collaboration arrangements are discussed with shortlisted applicants and confirmed before acceptance. No fixed duration or stipend amount is advertised on this page.

Shortlisted applicants receive the relevant role expectations and written terms to review before deciding whether to accept an offer.

Selection approach

What happens after applying?

  1. The team reviews your application against the role requirements and the information you provide.
  2. Shortlisted candidates may be invited to discuss experience, projects and approach to the work.
  3. A role-related technical discussion or practical exercise may be used where relevant. The format and expectations will be explained in advance.
  4. Any next steps and applicable conditions are shared directly with selected candidates.
Internship application

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