Lead Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI

Nutanix; Santa Clara (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Family medical coverage

Vision coverage

Dental coverage

Discretionary bonuses

Job summary

Nutanix in Santa Clara, California is seeking a lead for the development of advanced AI agents and agentic systems. You will be responsible for architecting multi-agent systems and integrating state-of-the-art AI techniques to enhance agent autonomy.

The ideal candidate has extensive experience with LLMs, machine learning, and a strong educational background in Computer Science or related fields. You will receive competitive benefits including medical, vision, and dental coverage.

Qualifications

• Passion for machine learning algorithms and AI techniques.
• Experience with large language models and their applications.
• Ability to innovate in applied machine learning.

Responsibilities

• Lead research, design, and development of AI agents.
• Implement complex multi-agent systems.
• Diagnose and optimize distributed systems.

Skills

Machine learning algorithms

Natural language processing (NLP)

Python programming

Data analysis skills

Cloud platforms (AWS)

Containerization (Docker, Kubernetes)

Problem-solving

Communication skills

Education

Master's or Ph.D. in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

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.

Qualifications

• Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP)
• Understanding of agent-based modeling, reinforcement learning, and autonomous systems
• Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning
• Experience with large language models (LLMs) and their applications in Agentic AI
• Proficiency in programming languages such as Python and experience with machine learning frameworks like TensorFlow or PyTorch
• Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes)
• Understanding of distributed system design patterns and microservices architecture
• Excellent problem‑solving and data analysis skills
• Strong communication and collaboration skills
• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience
• Min 5‑7+ years of relevant work experience in AI, Machine Learning, and applying data science to real‑world use cases OR Strong track record of taking systems from prototype to production with a focus on scalability and reliability
• Knowledge of fine‑tuning strategies (QLORA, DPO) and inference optimization (vLLM, TensorRT‑LLM)
• Research experience in agentic AI or related fields
• Experience building and deploying AI agents in real‑world applications

Benefits

Family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.