AI Engineer (Europe)

TL;DR

AI Engineer (Europe) (LLM/GenAI): Own the architecture and delivery of production-grade LLM systems and classical ML solutions with an accent on RAG pipelines, agentic workflows, and system-level optimization. Focus on designing scalable Databricks-based GenAI/ML workloads, implementing evaluation frameworks, and productionizing with CI/CD, monitoring, and reliable deployment.

Location: Budapest, Bartók Béla út, Hungary

Company

hirify.global is a data and tech services team based in Budapest working on AI, data engineering, and analytics projects for clients worldwide.

What you will do

• Own the architecture and delivery of production-grade LLM systems and classical ML solutions.
• Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring).
• Build scalable LLM services and agentic workflows, alongside traditional ML systems where appropriate.
• Architect and optimize distributed GenAI/ML workloads on Databricks (Spark, MLflow), including performance optimization.
• Implement evaluation frameworks to measure quality, hallucinations, and performance.
• Productionize systems with CI/CD, monitoring, rollback, and versioning; lead technical decisions in client engagements and contribute to pre-sales architecture discussions.

Requirements

• 5+ years of experience in Data Science or a related field.
• Proven experience delivering LLM-based systems to production (not only PoCs) and experience with classical ML projects.
• Strong hands-on experience with RAG, agents, and open-source LLMs.
• Deep understanding of system-level trade-offs (latency, cost, scaling, reliability) and experience optimizing production systems.
• Strong Python and SQL skills.
• Clear, confident communication in English in technical discussions.

Culture & Benefits

• Flexible ways of working with respect for when and how work gets done.
• Mentoring from the first day and ongoing support for personal and professional development.
• International projects and diverse challenges with clients and partners worldwide.
• Learning and development opportunities and access to advanced technologies.
• Emphasis on work-life balance and fewer unnecessary meetings/administration.