We’re looking for an AI Engineer to design, implement, and optimize advanced AI systems that balance quality, performance, and cost. You’ll work on inference pipelines, retrieval-augmented generation (RAG), and multi-agent patterns while building evaluation harnesses and simulation-based training frameworks. This role combines deep technical skill with a strong focus on real-world reliability and user experience.
System Design: Architect inference and RAG pipelines; design manager/worker agent patterns with deterministic fallback mechanisms for reliability.
Evaluation & Training: Build robust evaluation harnesses and develop simulation-based training pipelines to improve model robustness.
Optimization: Tune AI systems across quality, latency, and cost dimensions, ensuring scalable production performance.
Experimentation: Run A/B tests and continuous feedback loops to measure system performance and guide improvements.
User Experience: Collaborate with product and design teams to ensure AI outputs integrate into workflows with intuitive, high-quality UX.
Requirements
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