AI Engineering Lead Role

New

Skills

AWS Cloud Kubernetes LangChain Pytorch Software Engineering Terraform Vector Databases

Join Goodnotes as an AI Engineering Lead and take charge of a small, dynamic, cross-functional team acting as an internal AI agency. You will lead the design, development, and deployment of AI-driven solutions to enhance productivity across all departments, fostering a culture of innovation, collaboration, and continuous learning. This remote role offers meaningful equity, flexible working arrangements, and the chance to shape the future of AI adoption within a global engineering organization.

Key Responsibilities
  • Lead, mentor, and grow a small engineering team developing and deploying AI-powered productivity solutions.
  • Architect and implement AI applications using LLMs, generative AI, NLP, predictive analytics, and process automation.
  • Collaborate with stakeholders across Product, Design, Customer Support, Marketing, and other business units to identify and translate needs into practical AI solutions.
  • Drive AI adoption across the engineering organization by sharing best practices, enabling teams, and embedding AI into existing workflows.
  • Define technical strategies, create clear roadmaps, and manage end-to-end delivery of impactful AI solutions.
  • Advocate for best practices in AI software development, model training, testing, deployment, reliability, and scalability.
  • Track and improve the effectiveness of AI initiatives through iterative feedback and data-driven decision making.
Required Skills & Qualifications
  • 7+ years of software engineering experience, including 3+ years focused on AI/ML product development or implementation.
  • Proven ability to develop, deploy, and maintain AI solutions, ideally in enterprise or productivity contexts.
  • Hands-on technical leadership with experience managing small engineering teams and remaining comfortable coding and prototyping.
  • Strong familiarity with modern AI/ML frameworks and tools (e.g., PyTorch, TensorFlow, OpenAI API, LangChain, Hugging Face, vector databases, RAG).
  • Experience productionizing AI solutions using cloud infrastructure (AWS preferred) and modern deployment techniques (Kubernetes, EKS, Terraform, ArgoCD).
  • Excellent communication, collaboration, and stakeholder management skills.
  • Creative problem-solving mindset and deep curiosity for leveraging AI in practical ways.
  • Proactive, ownership-oriented, and comfortable operating in ambiguity and experimentation.
  • Dedication to continuous learning, open collaboration, and mentorship.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12.0 Months

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