Senior LLM AI Engineer
Pure Storageabout 4 hours ago
Responsibilities
- Design, build, and deploy LLM-based AI solutions for natural language interaction and analytics.
- Implement workflows for model lifecycle activities, including data annotation and model evaluation.
- Lead the fine-tuning and improvement of proprietary LLMs to meet quality and privacy standards.
- Define model training strategies and dataset requirements for effective model development.
- Optimize LLM inference pipelines for production constraints like latency and cost.
- Deploy and monitor LLM systems in production environments.
- Translate business challenges into LLM system designs and technical trade-offs.
- Guide architectural decisions for applied AI solutions.
Requirements
- Experience delivering AI-powered solutions into production.
- Hands-on experience developing retrieval and context orchestration pipelines.
- Experience implementing LLM training pipelines, including fine-tuning and evaluation.
- Proficiency in Python and modern LLM frameworks and APIs.
- Experience with model optimization and deployment tooling.
- Experience collaborating with software engineers and business stakeholders.
- Strong communication skills to explain machine learning concepts clearly.
Benefits
- Flexible time off and wellness resources.
- Company-sponsored team events.
- Support for personal and professional growth.
- Recognition as a Great Place to Work.