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This listing was closed on Jul 19, 2026.
Browse Open JobsStaff Machine Learning Engineer - Agentic Models, LLM, RAG, Genai
Summary by AIEngineer.careers
Staff Machine Learning Engineer - Agentic Models, LLM, RAG, Genai is a Machine Learning Engineer role (full-time). with Nutanix. in SANTA CLARA, US. Imported listing (source: jooble.org). Apply on the employer's site (jooble.org).
Imported listing (source: jooble.org) · Apply on jooble.org
SANTA CLARA · US
—
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jooble.org
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.
Nutanix
San Jose · US · 8222+ employees
Nutanix is an American cloud computing company that sells software for datacenters and hybrid multi-cloud deployments. It helps organizations simplify their IT infrastructure with a platform that integrates infrastructure and management capabilities to run apps, data, and AI anywhere.
