Junior AI Engineer

Summary

Join Goodnotes, a company reimagining human-AI interaction, and contribute to the development of cutting-edge AI features for a leading note-taking platform. As a member of a cross-functional engineering team, you will transform state-of-the-art research into a real product used by millions. The role involves developing and scaling AI systems, building advanced RAG systems, creating novel mediums combining LLMs and note-taking technology, and productionizing LLM pipelines. You will work in a fast-paced environment collaborating with engineers, designers, and QAs. This junior-friendly role offers mentorship and opportunities to grow into a full-stack AI engineer.

Requirements

• Demonstrated academic excellence in a BSc or MSc in Computer Science, Electrical Engineering, Mathematics, or related fields
• Internship(s) or substantial side project(s) in generative AI (e.g., fine-tuning small LLMs, RAG, prompt-engineering chatbots, etc.)
• Professional fluency in Mandarin Chinese and English – able to read technical papers, write documentation, and communicate with cross-regional teams
• Solid grounding in data structures, algorithms, and software engineering best practices
• Proficient in Python for ML/AI prototyping
• Exposure to at least one additional language (e.g., Java, Swift, or C++) – coursework or hobby project is acceptable
• Comfort using Git and containerizing projects with Docker
• Deployed at least one personal or school project to a public cloud (AWS / GCP / Azure) or platform-as-a-service (e.g., Render, Vercel)
• Basic understanding of transformer internals and how attention mechanisms scale
• Eager to pair with senior engineers, give & receive feedback in code reviews, and iterate quickly
• Evidence of self-learning (courses, Kaggle comps, open-source contributions)

Responsibilities

• Developing and scaling agentic and multimodal AI systems to tens of millions of users
• Developing and scaling an advanced RAG system for question answering, summarization, self-learning, and AI coediting over handwritten and PDF documents
• Building a novel medium combining multimodal LLMs and freeform notetaking technology to radically transform how people engage with their information
• Productionizing LLM pipelines to build an AI-first user experience GoodNotes
• Working in a fast-paced, multidisciplinary squad with engineers, QA, product designers to rapidly ship features

Preferred Qualifications

• Coursework or hackathon experience with multimodal LLMs (text-to-image, speech, vision-language)
• Exposure to Kubernetes or serverless frameworks for hobby deployments

Benefits

• Meaningful equity in a profitable tech startup
• Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness
• Sponsored visits to our Hong Kong or London office every 2 years, and yearly offsite
• Company-wide annual offsite
• Flexible working hours and location
• Medical insurance for you and your dependents