Lead AI Engineer
Fulda, DE und 3 weitere OrteCompany 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
