Hiring: Applied AI Engineer Company: Everpure Location: United States Job Posted Time: 2026-09-16 19:56:28 Employment Type: Hybrid Target Skills & Keywords : Accessibility, Data Pipeline, Fine-tuning, Kafka, Kubernetes, LLM, PyTorch, Salesforce, Snowflake, Spark, XGBoost, vLLM About the job Experience: •8+ years building and deploying AI/ML systems in cloud or on-prem environments Required Skills: •Deep Technical Roots — You know PyTorch, Kubernetes, and GPU clusters (NVIDIA/AMD) inside and out, and you know when XGBoost is a better choice than the latest frontier model. •Broad Business Acumen — You understand verticals, e.g. how a hospital's AI needs differ from a hedge fund's, and can navigate both conversations with credibility. •Collaborative Autonomy — With a global remit and potential for 30-60% travel, you are in charge of driving results within diverse collaborations. •If this sounds like you, come join one of the most exciting teams at Pure. •Lead technical discovery and advisory engagements with customers to identify high-value AI use cases relevant to their industry and data •Advise on end-to-end AI deployment — model selection, training/fine-tuning strategies, inference optimization, data pipeline design, and evaluation/alignment/safety frameworks — optimized for Pure's platform •Collaborate cross-functionally to qualify and position AI opportunities, and develop proof-of-value prototypes that translate technical performance into business outcomes •Create AI enablement content for field teams, partners, and customers — technical walkthroughs, qualification guides, workshops, and vertical-specific use case frameworks Qualifications: •Advanced degree in a quantitative field (Computer Science, Physics, Mathematics, Engineering, or related), or equivalent demonstrated through publications and production system experience •Deep expertise in modern AI/ML — large language models, distributed training, inference optimization, agentic systems, evaluation/alignment frameworks, and classical ML •Fluency with the modern AI stack (PyTorch, vLLM, Ray, Kubernetes) and data platforms •Able to scope and carry out research projects that support critical business objectives, both independently and collaboratively •Excellent written, verbal, and presentation skills — equally clear with hands-on data scientists and C-suite decision-makers •Exposure to multiple industry verticals (financial services, healthcare, telco, manufacturing) •Publication record, conference presentations, or recognized technical presence •Background combining applied research with shipping production systems •Operational familiarity with CRM/opportunity management systems (Salesforce preferred) •Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. Compensation: •$171,500 - $257,600 / year •This role may be eligible for incentive pay and/or equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!