Nutanix is seeking a Staff Machine Learning Engineer to lead the development of advanced AI agents and agentic systems. The role involves architecting multi-agent systems, integrating LLMs, and building scalable infrastructure. Candidates should have expertise in Gen AI, LLMs, NLP, and agent-based modeling, with a track record of taking systems from prototype to production.
Responsibilities
Lead the team in research, design, development, and deployment of advanced AI agents and agentic systems.
Architect and implement complex multi‑agent systems, including planning, decision‑making, and execution capabilities.
Develop and integrate large language models (LLMs) and other state‑of‑the‑art AI techniques to enhance agent autonomy and intelligence.
Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale.
Diagnose and troubleshoot issues in complex distributed environments and optimize system performance.
Contribute to the team’s technical growth and knowledge sharing.
Stay up‑to‑date with the latest advancements in AI research and agentic AI and apply them to our products.
Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences.
Requirements
Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP).