Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop product-oriented AI systems, implement pipeline-based applications, and evaluate their quality while closely collaborating with various stakeholders.
Job Technologies
Your role in the 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.
- The 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.
- Bleiben Sie auf dem Laufenden mit der AI-Technologielandschaft und schlagen Sie pragmatische Verbesserungen für unsere Architektur vor.
- 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.
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Our expectations of you
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.
- 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.
Experience
- 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.
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What we offer
- 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.
- Attraktive Mitarbeiterrabatte auf unser gesamtes Produktangebot.
- Numerous learning and development opportunities, both within and beyond our organization.
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Benefits
Health, Fitness & Fun
Food & Drink
More net
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Lampenwelt GmbH
Lampenwelt GmbH offers Europe's leading online shop for lamps and lights with www.lampenwelt.de and other international domains. Lampenwelt.de is characterized by a unique range of around 50,000 fascinating products. Whether for indoors or outdoors, for private or commercial use: The goal of Lampenwelt.de is to offer each customer his individual dream lighting.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
AI Engineer - Applied AI & Machine Learning
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
