Product Engineer
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As an AI Engineer at WeRoad, you will ship LLM-powered features in production, from conversational agents to AI search and personalization. You’ll join a small, hands-on Science Team that values ownership and fast delivery, impacting thousands of travelers across Europe and beyond. You’ll design LangGraph workflows, evaluate models and costs, and integrate AI services with WeRoad’s data stack. This role blends product sense with engineering rigor to transform travel experiences at scale.
Retribuzione / Benefits- Performance-based bonus
- Free WeRoad trip annually
- Trust-based holidays
- Learning opportunities
- New parent support
- Hybrid working
- Build, ship and maintain LLM-powered features in production (agents, classifiers, RAG pipelines, AI search)
- Design and iterate on LangGraph workflows, prompts and tool-calling logic
- Set up and run evaluations: define test sets, monitor quality, latency and cost with tracing/observability tools (e.g. Langfuse)
- Integrate AI services with the product and data stack (APIs, databases, BigQuery, GCP)
- Optimize token usage, model routing, prompt efficiency and response quality
- Collaborate with Product, Customer Care, Marketing and Data to identify AI use cases and move from prototype to production
- Own problems end-to-end from need understanding to shipping and monitoring
- Product sense: start from the problem and user impact, know when not to use AI
- Software or product engineer experience, preferably in product companies or fast-moving startups
- Ownership mindset: act on vague briefs, ship, and own outcomes
- Engineering skills for running AI in production (latency, cost, reliability, scalability)
- Experience with TypeScript or Python is a strong plus
- Experience building AI-powered solutions (work, research, or personal projects)
- Ability to measure and validate prompts/models before trusting them
- Clear communication to non-technical stakeholders
- Fluency in English
- Product-minded problem solving
- Ownership and proactive delivery
- Ability to explain technical concepts to non-technical people
- TypeScript
- Python
- LLM-powered features
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