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training llm rlhf agentic_design large_scale_data_modeling📋 Description
- Define and own architectural vision for next-gen AI systems.
- Prototype and evaluate breakthroughs: predictive modeling, multi-modal intelligence.
- Set foundations: data architecture, model serving, agent orchestration, inference.
- Evaluate multi-agent reasoning, RLHF, and retrieval-augmented fine-tuning early.
- Establish engineering standards, architecture reviews, and IP docs for the team.
🎯 Requirements
- BS/MS/PhD in CS/AI/ML; PhD preferred.
- 5+ years AI/ML engineering; 2+ years as principal engineer/lead architect.
- Proven track record building original AI systems that became products.
- LLM training/fine-tuning; agentic design; knowledge graphs; data modeling.
- Comfort in greenfield projects with high ambiguity and ownership.
- Patents, published research, or shipped products with unique differentiation.
- No visa sponsorship; authorized to work in the US.
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