Eoin Hurrell

Principal AI engineer with a PhD in information retrieval. I build production AI systems and the engineering practices around them, so that changes can ship safely and quickly. My work spans search and retrieval, LLM-powered agents, evaluation and engineering leadership. I advise teams on applied AI.

Experience

• 2025-06 to now
  Principal Engineer, AI, Workday

  Enterprise AI agents, retrieval platforms and the engineering practices that make them safe to ship.

• 2024-04 to 2025-06
  Chief Technical Officer, Founder, Reva

  Founded and led engineering for an LLM infrastructure and evaluation startup.

• 2022-02 to 2024-01
  Staff Data Engineer / Staff Engineer, Sendoso

  Search relevance, data pipelines and first AI features, plus engineering process and mentoring.

• 2018-04 to 2022-01
  Senior Data Scientist, Swrve

  Production machine learning for personalisation and prediction.

• 2015-01 to 2018-05
  Lead Machine Learning Engineer, Cohort

  Led search, ranking and machine learning architecture.

• 2014 to 2015
  Research Data Scientist, Aon ACIA

  Applied NLP and information retrieval to document analysis.

• 2013 to 2014
  Lead Data Engineer, Conker / Investor Sheet

  Built data pipelines and reporting infrastructure.

Education

• 2013
  Dublin City University, PhD, Computer Science (Information Retrieval)
• 2009
  Dublin City University, BSc (Hons), Software Engineering

Skills

• agent-orchestration
• information-retrieval
• hybrid-retrieval
• rag
• reranking
• llm-evaluation
• red-teaming
• langgraph
• langchain
• mcp
• fine-tuning
• python
• go
• typescript
• scala
• java
• ruby
• pytorch
• transformers
• kafka
• elasticsearch
• neo4j
• snowflake
• dbt
• spark
• aws
• kubernetes
• docker
• redis
• technical-mentorship

Languages

• en

Links

• GitHub: https://github.com/eoinhurrell unverified
• LinkedIn: https://www.linkedin.com/in/eoinhurrell