Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du produktorientierte KI-Systeme, implementierst pipeline-basierte Anwendungen und evaluierst deren Qualität, während du eng mit verschiedenen Stakeholdern zusammenarbeitest.
Job Technologien
Deine Rolle im Team
- We are building AI-powered products that directly shape how customers discover and experience lighting.
- As our AI Engineer, you will design, build, and take ownership of applied AI systems that create measurable business impact.
- This is a product-oriented engineering role, not a research position.
- Majority of your time will be spent on applied AI and generative systems; the remaining will support existing predictive ML models (demand forecasting, pricing, logistics).
- You will work closely with product managers, data engineers, and business stakeholders.
- Design and build production-ready AI systems: RAG pipelines, multi-agent orchestration, LLM-based workflow automation, and generative media applications.
- Develop evaluation frameworks that measure AI output quality, reliability and consistency.
- Design guardrails that enforce safe, predictable AI behavior in production.
- Build and maintain clean, well-documented API and service layers that integrate AI capabilities into our products.
- Collaborate with product managers to translate business problems into concrete AI solution designs.
- Stay current with the AI technology landscape and propose pragmatic improvements to our architecture.
- Monitor and support existing predictive ML pipelines (regression, classification, demand forecasting, logistics).
- Assist in detecting and triaging model drift; contribute to basic retraining or validation workflows.
- Collaborate with data engineers on feature preparation for scheduled model runs.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- 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.
Erfahrung
- 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.
Unser Angebot
- A stable and engaging position in a profitable scale-up company.
- Flexible working options, from home and in one of our stylish offices in Fulda, Düsseldorf, or Berlin.
- A wide range of benefits, including free fruit and drinks, team and after-work events, and digital networking opportunities.
- A sports allowance to support your hobbies, because we care about the well-being of our team.
- Attractive employee discounts across our entire product range.
- Numerous learning and development opportunities, both within and beyond our organization.
Benefits
Gesundheit, Fitness & Fun
Essen & Trinken
Mehr Netto
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Lampenwelt GmbH
Die Lampenwelt GmbH betreibt mit www.lampenwelt.de sowie den internationalen Domains einen führenden Online-Shop für Lampen & Leuchten in ganz Europa. Mit rund 50.000 ansprechenden Produkten bietet Lampenwelt.de eine einzigartige Vielfalt für jeden Einsatzbereich, ob drinnen oder draußen, privat oder gewerblich. Ihr Ziel ist es, Ihnen Ihre Traumbeleuchtung anzubieten.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Handel
AI Engineer - Applied AI & Machine Learning
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
