Principal AI Engineer

• Develop and ship AI systems with a focus on delivering customer value
• Tackle a diverse range of complex problems, often reframing existing solutions with new perspectives
• Take ownership of multiple projects as the principal go-to expert
• Act as a first-class stakeholder throughout the AI R&D process
• Build strong cross-functional relationships with engineering, UX, product management, and customer research teams
• Mentor colleagues with less experience, acting as a trusted technical resource

• Significant hands-on experience in applied AI, able to independently design and build AI models and systems
• Strong Python skills and practical expertise with: scikit-learn for conventional ML and data science
• PyTorch, TensorFlow, or Keras for deep learning
• AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions
• CrewAI (or similar frameworks) for agentic AI projects
• Pandas/NumPy for data processing and transformation
• Intuition for selecting the right models and approaches for different use cases
• Cybersecurity expertise is a plus, but experience from other domains (e.g., finance, healthcare, marketplaces, insurance, legal, social media) is also highly valuable
• Positive, can-do, solution-oriented mindset with persistence in tackling complex challenges
• Bias for action and delivery, balancing speed with care
• Ability to thrive in a fast-paced environment, juggling multiple projects effectively
• Natural leader and collaborator, helping peers grow as problem solvers and communicators
• Curiosity and passion for continuous learning and self-development
• Open-minded approach, valuing feedback and new ideas from colleagues
• Strong interpersonal and communication skills, with the ability to explain complex AI concepts to diverse audiences and document work clearly

Cybersecurity expertise