AI Engineering Lead at Goodnotes

Europe

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

7+ years experience in software engineering, with significant recent experience (at least 3 years) focused on AI/ML product development or implementation
Proven experience developing, deploying, and maintaining AI solutions—ideally in enterprise or productivity contexts
Demonstrated capability as a hands-on technical leader: still comfortable coding and prototyping, while effectively managing a small technical team
Strong familiarity with current AI/ML frameworks and tools (e.g., PyTorch, TensorFlow, OpenAI API, LangChain, Hugging Face, vector databases, MCP, RAG, etc.)
Experience in productionizing AI solutions using cloud infrastructure (AWS preferred), and modern deployment techniques (e.g., Kubernetes, EKS, Terraform, ArgoCD)
Excellent communication, collaboration, and stakeholder management skills
Strong problem-solving mindset, capable of creatively and pragmatically leveraging AI technology to address real business problems
Deep curiosity and passion about leveraging AI to solve practical productivity problems
A proactive, ownership-oriented mindset, comfortable with ambiguity and experimentation
Desire to collaborate openly and foster an environment of continuous improvement, learning, and mentorship

Responsibilities

Lead and mentor a small engineering team dedicated to designing, developing, and deploying AI-powered productivity solutions internally
Actively architect and implement AI applications leveraging LLMs, generative AI, NLP, predictive analytics, and process automation
Collaborate closely with stakeholders from diverse business units (Product, Design, Customer Support, Marketing, etc.) to understand their needs and translate them into AI solutions
Drive AI adoption across the broader engineering organization by sharing best practices, enabling internal teams, and embedding AI capabilities into existing products and workflows
Define technical strategies, create clear roadmaps, and manage end-to-end delivery of impactful AI solutions
Advocate best practices in AI software development, model training, testing, and deployment, ensuring reliability and scalability
Build a culture of continuous learning, innovation, experimentation, and productivity enhancement through AI
Track effectiveness of AI initiatives and continuously improve through iterative feedback loops

Skills

LLMs

Generative AI

NLP

Predictive Analytics

Process Automation

Goodnotes

About Goodnotes

N/AHeadquarters

N/AYear Founded

N/ACompany Stage

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