Everpure
Applied AI Engineer
About this role
Lead technical advisory and pre-sales engagements for a data storage company's AI initiatives. This hybrid role blends deep machine learning expertise with business acumen, requiring you to guide enterprise customers through AI strategy, deployment, and optimization while contributing thought leadership through research and conference presentations.
What you'll do
- Conduct technical discovery sessions with enterprise customers to identify high-value AI use cases aligned to their industry and data landscape
- Advise on end-to-end AI deployment including model selection, training strategies, inference optimization, and safety frameworks
- Develop proof-of-value prototypes that demonstrate technical performance and business ROI on Pure's platform
- Create enablement content and qualification guides for field teams, partners, and customers across industry verticals
- Represent Pure at industry conferences, publish technical research, and maintain relationships with strategic partners like NVIDIA and AMD
- Drive cross-functional initiatives autonomously across Sales, Engineering, Marketing, and Solutions teams
What they're looking for
- PyTorch and modern AI/ML frameworks (vLLM, Ray)
- Large language models, distributed training, and inference optimization
- Kubernetes and GPU cluster management (NVIDIA/AMD)
- Data platforms (Spark, Snowflake, Kafka)
- Enterprise sales and customer-facing technical advisory
- Written and verbal communication for technical and executive audiences
- Research design and publication
- Business strategy and vertical market knowledge
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Everpure
Everpure builds cloud-native storage and data infrastructure solutions, including Kubernetes platforms and enterprise SSD products for mission-critical environments. The company is hiring technical support engineers, validation engineers, and solutions specialists to diagnose complex infrastructure issues, qualify storage hardware, and deliver customer support across cloud and storage technologies.
- Website
- everpure.com
Likely interview questions
- Describe a time you advised an enterprise customer on a complex AI deployment decision—how did you balance technical correctness with business constraints?
- Walk us through your experience with GPU infrastructure and distributed training. What performance bottlenecks have you optimized for?