About the role
WeRoad is hiring a full-time AI Engineer for its Science Team, which develops AI features across its travel products and internal tools. The role focuses on building and maintaining production LLM features, including agents, classifiers, RAG pipelines, and AI search. You would design LangGraph workflows, prompts, and tool-calling logic, then evaluate quality, latency, and cost using test sets and observability tools. The team integrates AI services with product and data systems, including APIs, databases, BigQuery, and GCP.
The work spans the full lifecycle, from identifying a product need with other teams to shipping, monitoring, and improving a solution. WeRoad seeks someone with product judgment, hands-on experience building AI projects, and the ability to reason about production trade-offs and explain technical choices clearly. The listing says work can be fully remote or hybrid in Milan, and advertises a salary.
Highlights
- Build production AI agents, RAG pipelines, classifiers, and AI search.
- Create evaluations and monitor quality, latency, and cost.
- Integrate AI services with APIs, databases, BigQuery, and GCP.
- Full-time permanent role with an advertised salary up to 55K.
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