Senior LLM AI Engineer

Pure Storage

Location not specified

Full Time

Posted June 1, 2026

$114k - $174k· Est.

Power Generation

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Job Description

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.

Key Responsibilities

1touch.io is a technology company focused on automated, real-time discovery, mapping, and tracking of sensitive personal data. Its AI-powered platform helps enterprises improve data privacy, security, and governance across complex on-premises and cloud environments.
Together, 1touch.io and Everpure transform enterprise data from passive storage into an intelligent, context-aware, and governed foundation - making it AI-ready at the source so organizations can securely understand, trust, and activate their data at scale.
The Senior LLM / AI Engineer designs, builds, and deploys production-ready AI systems and workflows that transform business requirements into scalable and reliable LLM-driven solutions. This role is responsible for the full lifecycle of AI and LLM-based solutions- from solution architecture and experimentation through model fine-tuning, optimization, and production deployment. The focus is on developing business intelligence assistants and process automation workflows using private LLM APIs and proprietary fine-tuned models.
Design, build, and deploy LLM-based AI solutions for natural language interaction, search, analytics, and reasoning across structured, unstructured, and graph-based enterprise data sources.
Implement workflows supporting model lifecycle activities, including data annotation, synthetic dataset generation, and model evaluation.
Lead the fine-tuning and continuous improvement of proprietary LLMs to meet privacy, quality, and latency requirements.
Define model training strategies and dataset requirements to support effective model development and performance.
Optimize LLM inference pipelines for production constraints, including latency, cost, throughput, and infrastructure efficiency.
Deploy, operate, monitor, and improve LLM systems in production environments.
Translate business challenges into LLM system designs and technical trade-offs.
Guide architectural decisions and contribute to the technical direction of applied AI solutions.
We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

Requirements

Experience delivering AI-powered solutions into production and improving them over time.
Hands-on experience developing retrieval and context orchestration pipelines that combine structured and unstructured data sources for LLM grounding and reasoning.
Experience implementing LLM training pipelines, including fine-tuning, instruction tuning, evaluation, and iterative model improvement.
Proficiency in Python and modern LLM frameworks and APIs (such as PyTorch, Hugging Face, Transformers, Gemini, Claude, or similar).
Experience with model optimization and deployment tooling (such as ONNX, TensorRT-LLM, vLLM, or similar).
Experience collaborating with software engineers, product managers, and business stakeholders.
Strong communication skills and the ability to explain machine learning concepts and system behavior clearly.