Dein Alltag dreht sich um die Forschung und Umsetzung modernster KI-Techniken. Du prototypisierst Ideen, entwickelst robuste Funktionen und optimierst KI-Workloads. Zudem unterstützt du andere Teams bei der Integration von KI-Lösungen und schaffst so wichtige Verbindungen.
Anforderungen
- •5+ years professional experience in ML engineering
- •Experience developing and deploying LLM-based agents
- •Hands-on expertise in MLOps/LLM Ops
- •Proven track record deploying ML/AI models
- •Hands-on with Python, TensorFlow or PyTorch
- •Expertise in containerization & orchestration
- •Strong understanding of data engineering
- •Excellent communication skills in English
- •Bachelor's or Master's in Computer Science
Deine Aufgaben
- •AI/ML und Agententechniken untersuchen
- •Neue Ideen schnell prototypisieren
- •Experimente mit klaren Erfolgskriterien entwerfen
- •Prototypen in produktionsreife Mikrodienste umsetzen
- •Robuste, skalierbare KI-Funktionen architektieren
- •KI-Workloads containerisieren und orchestrieren
- •Modellbereitstellung für niedrige Latenz optimieren
- •Cloud-ML-Infrastruktur verwalten
- •AI-Konzepte für andere Abteilungen erklären
- •Nicht-technische Teams bei der Integration von AI-Lösungen unterstützen
- •Workshops durchführen und Dokumentationen erstellen
Deine Vorteile
Stabiler Arbeitsplatz
bAV Zuschuss
Homeoffice-Optionen
Verschiedene Mitarbeitervergünstigungen
Zuschuss für Sportaktivitäten
Mitarbeiterrabatte auf Produkte
Vielfältige Lern- und Entwicklungsmöglichkeiten
Original Beschreibung
# Lead AI Engineer (f/m/d)
## Job Description
At 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
## Qualifications
Lampenwelt 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 machine learning and reinforcement learning (for ML topics in pricing and demand forecasting)
## Additional information
Always 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