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conversational ai rlhf dialogue systems model serving evaluation pipelinesπ Description
- Architect Chakra end-to-end: agent design and report generation.
- Build systems to ensure interview consistency at scale.
- Design evaluation and benchmarking pipelines for quality and experience.
- Build fine-tuning and RLHF workflows to improve model judgment.
- Own the quality bar and define what a good interview looks like.
- Work across the full stack: data pipelines, model serving, latency, UX.
π― Requirements
- Built and shipped agentic/conversational AI in production.
- Strong intuition for LLM behavior in real-world conditions.
- Think in systems: architecture, evaluation, serving, and UX.
- Focus on quality and user impact.
- Experience with RLHF, Constitutional AI, or preference-based fine-tuning.
- Background in dialogue systems or rubric-based scoring.
π Benefits
- Equity (stock options)
- Comprehensive benefits package
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