Nutanix · 2 hours ago
AI/ML Full Stack Developer
San Jose, CA
Full-time
Hybrid
Entry, Mid Level
$110K/yr - $218K/yrNutanix is a technology company specializing in cloud software and hyper-converged infrastructure. They are seeking an AI/ML Full Stack Developer to design, develop, and deploy machine learning solutions for their education platform, focusing on neural recommendation systems and conversational AI agents.
Data CenterEnterprise SoftwareInformation TechnologySoftwareVirtualization
Responsibilities
Participate in ML sprint planning, including model experimentation roadmaps, RAG pipeline optimization, agentic workflow design, feature engineering discussions, and training pipeline estimations
Design, develop, and deploy machine learning models, RAG systems with vector databases and embedding models, and autonomous AI agents with tool calling capabilities, ensuring scalability, latency optimization, and alignment with business objectives
Conduct peer reviews of ML code, RAG retrieval strategies, agent framework implementations, model architectures, and experiment results, contributing to team-wide evaluation of semantic search quality, agent performance, and model benchmarking
Mentor junior ML engineers on best practices in model development, RAG architecture patterns, building multi-agent systems, prompt engineering, hyperparameter tuning, data preprocessing, and production ML systems
Monitor deployed models, RAG pipelines, and agentic workflows in production, manage embedding model updates, optimize retrieval performance, debug agent behavior, handle model drift detection, and maintain MLOps infrastructure for continuous delivery
Collaborate effectively with distributed ML teams across time zones, coordinating on shared vector stores, agent orchestration frameworks, model serving infrastructure, and cross-functional AI initiatives
Stay current with latest ML research, RAG optimization techniques, agentic AI frameworks like LangGraph and AutoGen, emerging model architectures, fine-tuning techniques, and GenAI advancements, bringing innovative approaches to team discussions and technical implementations
Document model architectures, RAG system designs, agent workflows, retrieval strategies, training procedures, feature specifications, and deployment processes through model cards, experiment tracking logs, architecture diagrams, and comprehensive ML documentation to enable reproducibility and knowledge transfer
Qualification
Required
Bachelor's degree in Computer Science, Machine Learning, Data Science, or related technical field with solid foundation in Python and familiarity with ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers)
Experience or strong interest in building ML systems with understanding of model training, fine-tuning, and deployment concepts
Familiarity with modern AI/ML approaches including working with LLMs, prompt engineering, RAG systems using vector databases and embeddings, or agentic AI frameworks like LangGraph, LangChain, or AutoGen
Understanding of NLP concepts, semantic search, and retrieval strategies
Ability to work in Agile environments with willingness to learn, experiment, iterate on models, and take ownership of assigned ML projects and features
Strong communication skills, eagerness to learn from senior team members, and enthusiasm for contributing ideas, staying current with ML research, and growing as an AI/ML engineer
Preferred
Exposure to MLOps practices like experiment tracking, model versioning, or containerization is a plus
Experience with GPU infrastructure or optimizing model serving is beneficial but not required
Benefits
Sign-on bonus
Restricted stock units
Discretionary awards
Full range of medical, financial, and/or other benefits
401(k) eligibility
Various paid time off benefits, such as vacation, sick time, and parental leave
Company
Nutanix
Nutanix specializes in cloud software, offering organizations a single platform for running apps and data across clouds.
Founded in 2009
5001-10000 employees
H1B Sponsorship
Nutanix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (260)
2024 (152)
2023 (300)
2022 (282)
2021 (137)
2020 (143)
Funding
Current Stage
Public CompanyTotal Funding
$1.9BKey Investors
Bain Capital Private EquityNational Science FoundationKhosla Ventures
2024-12-11Post Ipo Debt· $750M
2020-08-27Post Ipo Debt· $750M
2016-09-30IPO
Leadership Team
Rajiv Ramaswami
President and CEO
Rukmini Sivaraman
EVP and Chief Financial Officer
Recent News
Company data provided by crunchbase