Healthcare AI/ML Intern — Build Production LLM Features

Imperial Healthtech; Kota Semarang; Hybrid; IDR 96,841,374 - 193,682,749; Full time

Benefits offered by this job

Weekly mentoring sessions

Direct access to AI infrastructure

Letter of recommendation

Project portfolio piece

Job summary

Imperial Healthtech is seeking an internship AI/ML Engineering intern in Semarang or remote. In this role, you will build AI features for clinical decision systems used in over 50 hospitals. Responsibilities include developing LLM prompts, optimizing them for production, and collaborating on new AI modules. The position offers a flexible work model, mentoring from senior engineers, and a stipend. Ideal candidates should be pursuing a relevant degree and have technical proficiency, particularly with Python and machine learning concepts.

Qualifications

• Currently studying or recently graduated in Computer Science or related fields.
• Comfort with Python, Git, and REST APIs.
• Experience in shipping projects using LLM APIs.
• Basic understanding of machine learning concepts.
• Curiosity about healthcare applications of AI.
• Ability to read technical documents in English.

Responsibilities

• Build and evaluate LLM prompts for clinical use cases.
• Design evaluation frameworks for prompt effectiveness.
• Ship new features to production regularly.
• Collaborate with product teams on AI modules.
• Write technical documentation and present results.

Skills

Python

Git

REST APIs

LLM APIs (OpenAI, Claude, Gemini)

ML concepts (embeddings, fine-tuning)

English reading comprehension

Bahasa Indonesia comprehension

Experience with FastAPI

Experience with Next.js

Experience with NLP projects

Education

Studying or recently graduated in CS, Data Science, AI/ML

Tools

ChromaDB

Pinecone

Weaviate

Qdrant

Job description

Imperial Healthtech is seeking an internship AI/ML Engineering intern in Semarang or remote. In this role, you will build AI features for clinical decision systems used in over 50 hospitals. Responsibilities include developing LLM prompts, optimizing them for production, and collaborating on new AI modules. The position offers a flexible work model, mentoring from senior engineers, and a stipend. Ideal candidates should be pursuing a relevant degree and have technical proficiency, particularly with Python and machine learning concepts.