AI/ML Engineering Intern — Healthcare LLM Applications

Imperial Healthtech; Kota Semarang; On-site; 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

Internship AI / ML Engineering Hybrid · Semarang or Remote 4–6 months

AI/ML Engineering Intern — Healthcare LLM

Build the AI features that real doctors and hospital administrators use every day. You\'ll work on our Clinical Decision Support System (CDSS) and BPJScan Smart QA — production LLM applications running across 50+ Indonesian hospitals.

AI is the moat that separates MedMinutes from legacy hospital information systems like Khanza or SIMGOS. Your work won\'t sit in a research notebook — every prompt, eval, and pipeline you build ships into production within weeks and gets used by real clinicians and hospital administrators.

You\'ll work across two flagship AI surfaces:

• Clinical Decision Support System (CDSS) — 4 production modules helping doctors with diagnosis verification, drug interactions, clinical guidelines, and BPJS claim verification. Each module has its own backend, prompt logic, and doctor-facing UI.
• BPJScan Smart QA — an LLM assistant that lets hospital admins ask free-form questions over millions of rows of BPJS insurance claim data ("which DRGs are we under-coding?", "show me readmissions in the last 30 days").

What you\'ll do

• Build, evaluate, and iterate on LLM prompts (Claude, Gemini, Groq, OpenAI) for clinical and claims use cases
• Design eval frameworks — measure accuracy, hallucination rate, latency, and cost
• Ship features to production every 1–2 weeks and watch real doctors use them
• Optimize prompts for cost via prompt caching, batching, and model routing
• Collaborate with the product team to scope new AI modules from clinical pain points
• Write technical documentation and present results to engineering and clinical stakeholders

You\'re a fit if you

• Are studying or recently graduated in CS, Data Science, AI/ML, or related field
• Are comfortable with Python, Git, and REST APIs
• Have shipped at least one project using LLM APIs (OpenAI, Claude, Gemini, etc.) — coursework, hackathon, or personal project all count
• Understand basic ML concepts: embeddings, fine-tuning vs prompting, eval metrics
• Are curious about healthcare and how AI can actually help — not just the hype
• Can read English technical docs and understand Bahasa Indonesia clinical context
• Experience with FastAPI, Next.js, or TypeScript
• Familiarity with vector databases (ChromaDB, Pinecone, Weaviate, Qdrant)
• Past projects in NLP, RAG, agent frameworks, or fine-tuning
• Experience with Anthropic SDK (prompt caching, tool use), Groq, or Vertex AI
• Comfort reading clinical or insurance documentation (BPJS, ICD-10, INA-CBG)

Sample projects you might tackle

• Build a regression eval set for the CDSS drug interaction module — track accuracy as we change prompts/models
• Design a RAG pipeline over 502K+ rows of BPJS claim data with sub-2-second latency
• Reduce monthly LLM cost by 40%+ via prompt caching, batch API, and smaller-model routing
• Add tool-use / agentic behavior to clinical assistants (lab lookup, drug DB queries)
• Improve a CDSS module\'s accuracy from baseline to a measurable target

What we offer

• Real production AI deployments — your prompts run in real hospitals every day
• Weekly 2-hour mentoring sessions with the CTO and senior engineers
• Direct access to existing AI infra: Anthropic, Gemini, Groq, OpenAI, ChromaDB, Vertex AI
• Hybrid work — Semarang office or fully remote, your choice
• Stipend (negotiable based on experience and scope)
• Letter of recommendation, project portfolio piece, and demo video for your CV

4–6 months. We work in 2-week iterations: pick a problem, design eval, implement, measure, ship. By the end you\'ll have shipped at least 8–12 production-grade AI improvements and a final case study suitable for portfolio or thesis.

Location & format

Hybrid. The team is based at our Semarang office (Jl. Gunung Sawo No. 17), but full remote is fine — we only ask for one weekly mentoring sync and presence at milestone demos. Start date is flexible.