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 product vision, strategy, and execution for a chat-first enterprise platform. Collaborate with data scientists, ML engineers, and designers to build conversational AI features, curate datasets, implement benchmarking and training workflows, define KPIs, and drive data-driven product optimization for enterprise workflow automation.

Develop tools and infrastructure for training language models in interactive environments, implement novel methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open-source projects.