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AI Engineer (Europe) - contractor

AI / ML Engineer • On-site • Full-time • Hungary Budapest, Hungary

Senior AI engineering role at Hiflylabs: owning the architecture and delivery of production LLM systems and classical ML solutions on Databricks for client projects.

Responsibilities

  • ▹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
  • ▹Define architecture trade-offs (LLM vs traditional ML, fine-tuning vs RAG, hosted vs self-managed models) with a focus on latency, cost, scalability and reliability
  • ▹Architect and optimize distributed GenAI and ML workloads on Databricks (Spark, MLflow)
  • ▹Implement evaluation frameworks to measure quality, hallucination and performance
  • ▹Productionize systems with CI/CD, monitoring, rollback and versioning
  • ▹Independently design AI solutions tailored to client problems
  • ▹Lead technical decisions in client engagements and contribute to pre-sales architecture discussions
  • ▹Mentor team members and define GenAI and ML best practices

Requirements

  • ▹5+ years of experience in Data Science or a related field
  • ▹Proven experience delivering LLM-based systems to production (not only PoCs) and 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 optimizing production systems
  • ▹Strong Python and SQL skills
  • ▹Deep hands-on experience with Databricks and distributed computing (Spark), including performance optimization
  • ▹Experience deploying scalable ML/LLM systems on AWS, Azure or GCP

Soft skills

Independent problem solvingMentoring

About the company

Hiflylabs is a team of 250+ data and tech enthusiasts based in Budapest, working on projects worldwide from data engineering and data science to AI and application development. A mentoring system supports staff development.

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