Senior LLM AI Engineer

Location: Prague, Czech Republic; primarily in-office work from the Prague office is required

Company

hirify.global develops data storage and AI-powered data privacy, security, and governance solutions through its work with 1touch.io.

What you will do

• Design, build, and deploy LLM-based solutions for natural language interaction, search, analytics, and reasoning across structured, unstructured, and graph-based enterprise data.
• Develop business intelligence assistants and process automation workflows using private LLM APIs and proprietary fine-tuned models.
• Build model lifecycle workflows for data annotation, synthetic dataset generation, evaluation, fine-tuning, and continuous improvement.
• Define training strategies and dataset requirements while translating business challenges into scalable AI system designs.
• Optimize LLM inference pipelines for production latency, cost, throughput, and infrastructure efficiency.
• Deploy, monitor, operate, and improve LLM systems in production while guiding architectural decisions.

Requirements

• Experience delivering AI-powered solutions to production and improving them over time.
• Hands-on experience developing retrieval and context orchestration pipelines across structured and unstructured data sources.
• Experience with 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, or Claude.
• Experience with model optimization and deployment tools such as ONNX, TensorRT-LLM, or vLLM.
• Strong communication skills and experience collaborating with software engineers, product managers, and business stakeholders.

Nice to have

• Experience with semantic search, query understanding, Text-to-SQL, Text-to-Cypher, retrieval, or ranking systems.
• Experience with agentic LLM frameworks, workflow orchestration, automation, and tool-based context augmentation.
• Familiarity with MCP, Agent Skills, and LLM tool-calling frameworks.
• Experience with RLHF, DPO, sensitive data, privacy constraints, or data governance requirements.

Culture & Benefits

• Innovation-focused environment that encourages critical thinking and challenging technical work.
• Opportunities for professional growth and contribution to meaningful products.
• Collaborative team culture focused on shared goals and low ego.
• Flexible time off, wellness resources, and company-sponsored team events.
• Inclusive workplace with employee resource groups and accessibility accommodations during the hiring process.