AI Engineer (Europe)

Hiflylabs
ContractMid

AI Tools

Agentic WorkflowsOpen-source LLMsRAG

Tech Stack

PythonSQLDatabricksSparkMLflowAWSAzureGCP

Agent Workflow

Owning architecture and delivery of production-grade LLM systems, designing RAG pipelines, and building scalable agentic workflows for client projects.

About the Role

Hiflylabs, a vibrant team of 250+ data and tech enthusiasts based in Budapest, is looking for an AI Engineer to own the architecture and delivery of production-grade LLM systems and classical ML solutions.

Key Responsibilities

  • Own the architecture and delivery of production-grade LLM systems and classical ML solutions from concept to deployment
  • Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring)
  • Build scalable, production-grade LLM services and agentic workflows
  • Optimize distributed ML workloads on Databricks and Spark
  • Implement robust evaluation frameworks and CI/CD for ML/LLM systems
  • Collaborate with clients to translate business problems into technical solutions

Requirements

  • 5+ years of experience in data science or a related field
  • Proven track record of delivering production-grade LLM solutions (not just POCs)
  • Strong hands-on experience with RAG, agents, and open-source LLMs
  • Deep understanding of system-level trade-offs (latency, cost, scaling, reliability)
  • Strong Python and SQL skills with deep Databricks and distributed computing (Spark) experience
  • Experience deploying scalable ML/LLM systems on AWS, Azure, or GCP
  • Ability to independently design end-to-end AI solutions in response to client problems
  • Client-facing experience with confident English communication

Tech Stack: Python, SQL, Databricks, Apache Spark, MLflow, AWS, Azure, GCP, open-source LLMs

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