Senior AI Engineer — Build Production LLM & RAG Features

Pleo; Denmark; On-site; DKK 900,000 - 1,300,000; Full time

Job summary

Pleo is hiring to shape AI-powered product features across data and software teams. You will work with engineers, data scientists, and product partners to move ideas from prototype to production using 40,000+ customers’ data.

Expect a collaborative, fast-paced environment where practical AI engineering and data context drive outcomes. You will help build end-to-end AI features, design robust retrieval pipelines, and ensure production quality in a highly scalable platform.

Qualifications

• Proven experience shipping customer-facing AI features in production.
• Experience designing end-to-end RAG systems and retrieval pipelines.
• Strong Python engineering with production-grade code and tests.
• Experience building APIs and data retrieval pipelines for AI systems.

Responsibilities

• Build and ship AI-powered features for users, owning outcomes end-to-end.
• Design and implement end-to-end RAG systems for product use cases.
• Own AI-product lifecycle: prompts, context, state management, and safe deployment.
• Build evaluation datasets and automation to validate AI quality.
• Instrument features for production observability and monitoring.
• Collaborate with Product/Design to scope AI features from first principles.
• Partner with GenAI Platform to identify infra needs and tooling adoption.
• Provide technical leadership and peer reviews for teammates.

Skills

AI feature shipping

RAG systems

Embedding models

Vector databases

APIs

Python

Kotlin

Cloud platforms

Evaluation frameworks

LLMs

Tools

Vector databases

Kotlin

AWS/GCP

Job description

Pleo is hiring to shape AI-powered product features across data and software teams. You will work with engineers, data scientists, and product partners to move ideas from prototype to production using 40,000+ customers’ data.

Expect a collaborative, fast-paced environment where practical AI engineering and data context drive outcomes. You will help build end-to-end AI features, design robust retrieval pipelines, and ensure production quality in a highly scalable platform.