Lead AI Engineer
Company Description
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 Description
- 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
Qualifications
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 information
- 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 Person
jobs@lampenwelt.de