Lead/Staff Engineer - Applied AI

Description: Lead the development of LLM-powered AI agents and next-gen Generative AI systems for core product functionality and customer automation. High-autonomy role focused on applied AI, agent design, and data science, impacting millions of users. Requirements: 9+ years in Data Science, Machine Learning, or Applied AI with a proven track record in production-grade models. Hands-on expertise with LLMs, including fine-tuning and prompt engineering. Strong experience in building retrieval-augmented generation (RAG) systems using vector databases. Experience in cloud-native environments (GCP, AWS) and deploying models with frameworks like PyTorch. Familiarity with LangChain or similar frameworks for designing multi-step agents. Proficiency in Python and familiarity with TypeScript; strong engineering practices. Solid foundation in core data science methods and proven experience in taking ML/AI solutions to production. Ability to work independently and collaboratively, with strong product sense and communication skills. Benefits: Opportunity to work in a global, remote-first organization with a focus on innovation and ownership. Contribute to impactful projects that support over 1 million businesses worldwide.