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Senior AI Engineer
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- Posted 12 days ago
- Be among the first 10 applicants
Job Description
Job Summary
NetApp GCNV builds cloud-scale products used by thousands of customers, blending cutting-edge AI with world-class data infrastructure. Join us to solve hard problems in a collaborative, high-impact environment. We're hiring aSenior AI Engineerwho can design and ship production-grade AI/ML solutionsand the distributed systems that power them. You'll own features end-to-end from design and coding to deployment and monitoring and mentor other engineers along the way
Job Requirements
What You'll Do
- Design, build, and deploy AI/ML solutions to production at cloud scale.Architect backend services, data pipelines, and REST APIs that power AI features.
- Own the full lifecycle: design, development, testing, deployment, and monitoring.
- Mentor engineers and collaborate with cross-functional stakeholders.
- Drive bug fixes, RCAs, and automation keep pace with the latest in AI and cloud-native tech.Uphold data privacy, security, and ethical AI standards.
Must-Haves
- 8 yearsbuilding production software, with a strong AI/ML track record.
- Proficiency in Pythonand one ofJava, Go, C, or C++.
- Hands-on with TensorFlow, PyTorch, or scikit-learn.Strong fundamentals: data structures, algorithms, system design, REST APIs, Linux.
- Experience with AWS/Azure/GCPandDocker/Kubernetes.Solid grasp of statistics, data mining, and visualization.
- Excellent problem-solving and communication skills.
Nice-to-Haves
- Led AI projects from concept to production.Experience with data protection / backup & restore,filesystems, ordistributed systems.
- Deep cloud infra knowledge (storage, databases, caching, networking, load balancers).Git and agile workflows publications or open-source contributions.
Education
IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related experience.
More Info
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Key Skills
About Company
Skills:
data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering
Senior AI Engineer Document Intelligence LLM Infrastructure USA Shifttomorrow world technologies (twt)
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Skills:
Python, Hugging Face TGI, layout-aware models, rule engines, vision-language models, TesserAct, exception routing, GPU-backed serving stacks, vLLM, deterministic validation systems, OCR engines, PaddleOCR, schema enforcement
Skills:
Typescript, Node.js, Python, DevOps practices
Skills:
Technical Leadership, Strong Python Engineering, Systems Thinking at Scale, Cloud and Platform Engineering, LLM Retrieval and Knowledge Systems, Agentic Systems and Orchestration, Production AI Architecture
Skills:
secure coding , Argo, Solid Principles, MLops, Reactjs, Kubernetes, Python, CrewAI, Airflow, Static Analysis, MLflow, LangGraph, AutoGen, Kubeflow, LlamaIndex