Lead AI Engineer (Machine Learning Engineer)

Stellenbeschreibung

 
Company DescriptionLampenwelt is the leading online player for lighting in Europe. Ever since Lampenwelt was founded in 1999, the fascination for light has driven our ambition to provide an inspiring and personal shopping experience to millions of customers. With over 50.000 different products and 5 own brands, we not only offer the largest online selection but also an award winning customer service.
More than 500 employees from 30+ nations are working successfully along the entire value chain: from best-in-class customer service, excellence in assortment, high fulfilment competence, outstanding marketing & creation skills and professional B2B-solutions to our innovative tech, ecommerce and data assets.

Job DescriptionAt Lampenwelt, everything we do has the goal of enhancing people’s well-being. In order to bring our claim to life, we work together every day to follow our core values: strong customer focus, open communication, solution-based thinking, strong ownership mentality and the opportunity to disagree while still committing to the best common possible solution.We are now looking for an Lead AI Engineer (f/m/d) as part of our geniune and ambitious tech team. Where your expertise is needed
• Research & Experimentation: Investigate state‑of‑the‑art AI/ML and agent techniques (LLMs, retrieval‑augmented generation, reinforcement learning); Prototype novel ideas rapidly; design and run experiments with clear success metrics
• End‑to‑End Development: Translate prototypes into production‑grade microservices or components. Architect and implement robust, scalable AI features
• Deployment & Infrastructure: Containerize and orchestrate AI workloads (Docker, Kubernetes); optimize model serving for low latency and high throughput; manage cloud ML infrastructure (GCP, AWS, Databricks)
• Cross‑Functional Enablement: Support other departments by explaining AI concepts and guiding non‑engineering teams on integrating AI solutions (e.g., personalized product recommendations, intelligent search, automated content generation). Conduct workshops and produce documentation to upskill product, marketing, and customer‑support teams

QualificationsLampenwelt is the right place to work for you if change makes you thrive, not wither and if you like to challenge yourself day by day to find the best solution. Here you are given responsibility to not only contribute your ideas but also implement them yourself. At Lampenwelt, we push the limits further every day, act fast, open minded, and embrace a direct and solution-oriented communication on all levels.

What will help you to master future challenges
• 5+ years of professional experience in machine‑learning engineering, backend development, or related roles
• Must‑have experience developing and deploying LLM‑based agents or conversational AI/NLP models, including multi‑turn dialog flows, tool use, and retrieval‑augmented pipelines.
• Hands‑on expertise in MLOps/LLM Ops; deploying models with CI/CD including versioning, monitoring, testing and (concept) drift detection.
• Proven track record deploying ML/AI models into production; hands‑on with Python, TensorFlow or PyTorch, and agent‑centric LLM toolkits (e.g. LangChain/LangGraph, ADK, OpenAI agent framework).
• Expertise in containerization & orchestration (Docker, Kubernetes) and cloud platforms (prefered GCP)
• Strong understanding of data engineering: ETL, cloud databases, Vector databases
• Excellent communication skills in English, german is a plus
• Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
• Optional: Experience in time-series based maschine learning and reinforcement learning (for ML topics in pricing and demand forecasting)

Additional informationAlways wanted to work in an inspiring environment where your ideas have a direct impact? Then Lampenwelt is the right choice. We enable a high degree of autonomy where you can explore plenty of professional and personal growth opportunities while being surrounded by an aspiring team and bright minds. What's in it for you?
• Stable and secure workplace in a profitable scale-up
• bAV: Subsidy for company pension scheme
• Home office options
• Various employee perks including free fruits and drinks, team or after work events as well as digital networking opportunities
• Subsidy for your sports activities like gym or JobRad
• Attractive employee discounts on our entire product range
• Many learning and development options within and outside our organization

Your Contact PersonMelissa Barnes+49 661-296 962-1216
<a href="mailto:[email protected]" rel="nofollow">[email protected]</a>