AI Engineering Intern

Role focus

Support the systems that transform long-form conversations into structured, useful, and on-brand content. The role focuses on large-language-model integration, prompt architecture, evaluation, and generation pipelines.

Responsibilities

• Assist with integrating large language models into product workflows and backend services.
• Develop and test prompts for different content-generation and transformation tasks.
• Build structured prompt templates, reusable AI components, and controlled generation workflows.
• Evaluate outputs for accuracy, relevance, consistency, tone, structure, and usefulness.
• Create test cases, scoring criteria, and repeatable evaluations for generated content.
• Investigate hallucinations, weak reasoning, inconsistent formatting, generic language, and other failure modes.
• Experiment with models, context structures, retrieval strategies, and generation parameters.
• Document prompts, tests, results, tradeoffs, and implementation decisions.
• Collaborate with product and engineering on improvements that can be measured in real customer workflows.

Ideal candidate

A technically curious builder interested in model behavior, prompt design, evaluation, and practical AI applications. Experience with Python, JavaScript, APIs, or AI development tools is valuable, but careful experimentation and a strong learning mindset are equally important.