Principal Applied Scientist - AI Agents & Generative AI

Join the client's tech team to shape and improve AI Agents, fine-tune models, and build next-gen AI features.   RESPONSIBILITIES Define and drive technical strategy across multiple domains and org-wide applied science initiatives that help us improve our generative AI product suite Develop and evaluate production Agentic AI systems for real customer use cases Serve as trusted technical advisor to leadership, partnering with product engineering and sales, analyzing the performance of our AI products and prototyping new features Evaluate and train or fine-tune a variety of models, including LLMs Mentor Senior and Staff Applied Scientists, acting as a force multiplier while executing ML research and development projects that rapidly turn ideas into customer-facing features Our Tech stack: TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS, Databricks REQUIREMENTS 12-15+ years of experience as an Applied Scientist or closely related role, e.g. Applied Scientist or MLE. Deep expertise in enterprise-scale ML systems architecture with experience leading cross-team technical initiatives. Experience with LLMs, NLP, or information retrieval is a strong plus Strong proficiency in Python and experience with using using Python in production Ability to balance short-term velocity with long-term system resilience through smart trade-offs, owning the ML process end-to-end from strategy through productionisation. Demonstrated org-level or industry-level impact through technical leadership and strategic initiatives Strong spoken and written communication skills in English