Senior LLM AI Engineer

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on.

So, if you're ready to seize the endless opportunities and leave your mark, come join us. 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.

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.

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.

. Define model training strategies and dataset

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.

WHAT YOU BRING 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. MAY BE BENEFICIAL Experience building semantic search, query understanding, Text-to-SQL, Text-to-Cypher, retrieval, or ranking systems. Experience with agentic LLM frameworks for workflow orchestration, automation, and tool-based context augmentation.

Familiarity with MCP, Agent Skills, and LLM tool-calling frameworks. Experience with LLM alignment techniques, including RLHF and DPO.

. Interest in exploring and applying advances in

WHAT YOU'LL DO

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.