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 integrate multiple third-party and in-house Sonar models, ensuring orchestration, robustness, and observability in production.
Develop and maintain evaluation and experimentation platforms to measure answer quality, model performance, and product impact across 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: Hands-on experience building production AI or agentic applications end to end (tool calling, context engineering, LLM API integration); strong backend and systems design; Python plus a frontend framework; 4+ years of industry experience; self-directed with high agency.