Applied AI Engineer - Full Stack

Design and deliver scalable, end-to-end AI features that power core user experiences such as discovery, deep research, and monetization.
Build and evolve full-stack systems that orchestrate multiple third-party and in-house Sonar models, ensuring robustness and observability in production.
Develop evaluation and experimentation platforms to measure answer quality, model performance, and product impact for online and offline workflows.
Collaborate with research, product, design, and infra teams to translate frontier model capabilities into shipped user-facing features and internal tools.
Continuously improve performance, reliability, and cost efficiency of AI-powered applications through thoughtful system design, instrumentation, and iteration.
Qualifications: 4+ years shipping production software or AI, hands-on end-to-end experience including tool calling, context engineering, and LLM API integration; strong backend and systems design; proficiency in Python and a frontend framework.