AI Solutions Engineer
Goodnotes
Our Values
Dream big —Be visionary, strategic, and open to innovation
Build great things —Work in service of our users, always improving and pushing higher
Operate like an owner —Propel company success and impact with an entrepreneurial mindset
Win like a sports team —Be trusting and collaborative while empowering others
Learn and grow fast —Never stop learning and iterate fast
Share our passion —Share ideas and practice enthusiasm and joy
Be user obsessed —Empathetic, inquisitive, practical
About the team
You’ll be part of a small, cross-functional, and dynamic team focused on identifying and building AI-powered solutions that boost productivity across all departments at Goodnotes. The team functions like an internal AI agency—experimenting with modern AI technologies, building impactful internal tools, and driving AI adoption across the engineering organization.
About the role
We’re looking for a mid-level Software Developer Productivity Engineer or Developer Experience Engineer with a passion for AI and practical problem-solving. You’ll contribute directly to the design, development, and deployment of AI-powered solutions that improve productivity across the company. This is an individual contributor role where you'll be deeply involved in coding, prototyping, and learning on the job.
This is the role for you if you're excited to:
Build and deploy AI-driven internal tools using technologies like LLMs, NLP, generative AI, and automation frameworks
Collaborate with teammates and cross-functional stakeholders (e.g. Product, Design, Marketing) to understand real business needs and translate them into technical solutions
Stay hands-on with modern AI/ML tools (e.g., OpenAI, LangChain, Hugging Face, vector databases, etc.)
Contribute to experiments and proof-of-concept projects to explore new opportunities for AI in the workplace
Write clean, scalable, and maintainable code to bring AI prototypes into production
Learn continuously and share new insights and best practices with your team
Help integrate AI into internal workflows and assist other teams in adopting AI-powered features
You’ll thrive in this role if you have:
3–5 years of experience in software engineering, with some hands-on exposure to AI/ML projects
Familiarity with AI/ML tools and platforms (e.g., TensorFlow, PyTorch, OpenAI API, LangChain, etc.)
Experience developing backend services and integrating APIs
Comfort with deploying cloud-based solutions (AWS preferred) and an understanding of modern DevOps practices
A pragmatic and user-focused mindset—eager to solve real business problems with practical AI tools
Strong communication and collaboration skills
A willingness to experiment, learn, and improve through feedback and iteration
Even if you don’t meet all the criteria listed above, we’d still love to hear from you!
Goodnotes values learning and development and will support your growth if needed.
Interview Process
Introductory Call – A chat with someone from our talent acquisition team to learn more about you and your goals
Hackerrank Challenge
Code Review & System Design Interviews – Two 1-hour interviews with our engineers, covering both software design and code review.
Hiring Manager Interview – A conversation with your direct manager about your future role, goals, and growth
Values Interview – A behavioral interview with members of the Goodnotes team focused on our company values
AI Literacy – To gauge your experience working with AI technologies.
What’s in it for you
Meaningful equity in a profitable tech startup
Budget for home office, professional development, wellness, and more
Sponsored visits to our Hong Kong or London offices every 2 years
Annual company offsites (Lisbon in 2023, Bali in 2024, and Istanbul in 2025!)
Flexible working hours and location
Comprehensive medical insurance for you and your dependents