Teams at Skyfall AI

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 manage a research team developing agentic AI, focusing on reinforcement learning, transformer‑based generative models (LLMs, diffusion), and multi‑agent systems. Define research strategy, keep pace with state of the art, and build external academic and community relationships to position Skyfall as an AI leader.

Manage LLM-focused research projects: translate research goals into roadmaps, coordinate PhD researchers and research engineers, oversee data curation, experiment protocols, benchmarking, budgets, risk mitigation, documentation, and external academic/industry collaborations to drive publications and product integration.