AI Engineer (Europe)
HybridBudapest, Budapest, Hungary
Job Summary
Own the architecture and delivery of production-grade LLM systems and classical ML solutions, designing, evaluating, and optimizing RAG pipelines and agentic workflows. Build scalable services on Databricks (Spark, MLflow) and define architecture trade-offs focusing on system-level optimization for latency, cost, and reliability. Implement evaluation frameworks to measure quality and hallucination, then productionize systems with proper CI/CD, monitoring, and versioning. Independently design AI solutions tailored to client problems, translating business needs into scalable architectures while leading technical decisions in pre-sales discussions. Mentor team members and define GenAI best practices.
Required Qualifications
- 5+ years of experience in Data Science or a related field
- Proven experience delivering LLM-based systems to production (not only PoCs)
- 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)
- experience optimizing production systems accordingly
- Strong Python and SQL skills
- Deep hands-on experience with Databricks and distributed computing (Spark)
- experience with performance optimization
- 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
- openness to participate in pre-sales processes
- Clear, confident communication in English in technical discussions
- Must be available for projects in New York, the Netherlands, Sweden, or Scotland
Desired Qualifications
- Master's degree preferred
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