About the Role
1touch.io, now part of Everpure, 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.
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.
- 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.
- You will be expected to work from the Prague office in compliance with Everpure's policies, unless on PTO, 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.
- Experience working with sensitive or privacy-constrained data and governance requirements.
- Interest in exploring and applying advances in AI and LLM technologies.