AI Engineer - Applied AI Machine Learning

Role overview

Responsibilities

• check_circle Design and build production-ready AI systems: RAG pipelines, multi-agent orchestration, LLM-based workflow automation, and generative media applications
• check_circle Develop evaluation frameworks that measure AI output quality, reliability and consistency
• check_circle Design guardrails that enforce safe, predictable AI behavior in production
• check_circle Build and maintain clean, well-documented API and service layers that integrate AI capabilities into our products
• check_circle Collaborate with product managers to translate business problems into concrete AI solution designs
• check_circle Stay current with the AI technology landscape and propose pragmatic improvements to our architecture
• check_circle Monitor and support existing predictive ML pipelines (regression, classification, demand forecasting, logistics)
• check_circle Assist in detecting and triaging model drift; contribute to basic retraining or validation workflows
• check_circle Collaborate with data engineers on feature preparation for scheduled model runs

Basic qualifications

• Applied AI engineering: Demonstrated ability to build and ship RAG systems, LLM integrations, or multi-agent workflows in production
• Python and SQL proficiency: Comfortable writing clean, maintainable Python for production services and SQL for data retrieval and validation
• AI evaluation: Experience designing evaluation frameworks for generative AI outputs, including metrics, test sets, and monitoring approaches
• Production deployment: Practical experience deploying APIs or AI services to a cloud environment (any major cloud provider); understands latency, error handling, and observability basics
• Stakeholder communication: Able to clearly communicate technical trade-offs and solution designs to non-technical collaborators; English at C1 level or above
• ML literacy: Working understanding of supervised learning concepts (regression, classification, cross-validation) sufficient to support and interpret existing predictive models

Benefits

• check_circle A stable and engaging position in a profitable scale-up company
• check_circle Flexible working options, from home and in one of our stylish offices in Fulda, Düsseldorf, or Berlin
• check_circle A wide range of benefits, including free fruit and drinks, team and after-work events, and digital networking opportunities
• check_circle A sports allowance to support your hobbies, because we care about the well-being of our team
• check_circle Attractive employee discounts across our entire product range
• check_circle Numerous learning and development opportunities, both within and beyond our organization

About the company