Teams at Skyfall AI

Drive research and development of large language models: pre-training, fine-tuning, RLHF, instruction tuning, and prompt engineering. Optimize LLMs for domain-specific tasks, explore novel architectures and training methods, and integrate research advances into production-grade enterprise solutions.

Conduct research to advance agentic systems by developing methods for planning, reasoning, and reinforcement learning with LLMs and multi-agent systems; build experiments and datasets to improve LLM performance in complex workflows; stay current with academic advances.

Lead and mentor a research team developing agentic AI (planning, RL, LLMs, diffusion, multi-agent systems). Define and execute research strategy, track state-of-the-art work, and build external AI community relationships to position Skyfall as a research leader.