Stellen-ID: 22336

Zweck und Ziel der Stelle

We are searching intelligent and innovative employees. If you are interested in working for a dynamic company with flat hierarchy, we look forward to receiving your application.

Your tasks:

  • Lead architecture and design of agent-based AI systems for our defect analysis platform serving industrial and automotive customers
  • Own end-to-end delivery of AI features from concept to production, including LLM orchestration, evaluation, and reliability
  • Develop and deploy agentic LLM systems that integrate into real industrial and engineering workflows
  • Design and build full-stack features spanning Python backends and Next.js frontends
  • Define our approach to LLM usage across both API-based (OpenAI, Anthropic, Azure OpenAI) and self-hosted models
  • Build and maintain RAG pipelines, multimodal embeddings, and vector-based retrieval systems
  • Establish evaluation frameworks to measure LLM application accuracy, performance, and business impact
  • Work closely with cross-functional stakeholders and customers to turn complex defect workflows into scalable systems
  • Engage directly with customers and visit manufacturing and engineering sites to gather requirements and validate solutions
  • Mentor engineers and raise the bar across AI and backend engineering practices
  • Drive technical decisions across models, tooling, and system design

Entwicklungspotential / Perspektiven

Bedeutung für das Unternehmen

Your profile:

  • Background in Computer Science, Software Engineering, or AI/ML
  • 5+ years of software engineering experience with a focus on LLMs and agent-based systems in production
  • Hands-on expertise in agentic workflows, RAG pipelines, and multi-turn reasoning
  • Experience integrating AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI) and working with both hosted and self-hosted models
  • Solid background in scalable backend development, data pipelines, and cloud/container technologies (AWS/Azure/GCP, Docker, Kubernetes)
  • Familiar with modern AI tooling, including MLOps platforms, search technologies, and agentic coding tools
  • Strong ownership mindset, communication skills, and ability to work with cross-functional stakeholders in fast-paced environments
  • Fluent in English; German nice to have

Persönliche Anforderungen und Sozialkompetenzen

Imagetext / Arbeitgebervorstellung

Nothing provides more motivation than success. Da Vinci Engineering is highly committed to ensuring the own employees' success. Become a part of us!

You can expect ...

  • Experience in exciting and international projects
  • Continuous salary development
  • Da Vinci Corporate Benefits
  • On-the-job training and language courses
  • Appreciation, motivation and commitment

 

Kontaktdaten für Stellenanzeige

Herr Zlatan Toromanovic

Da Vinci Engineering GmbH

Hauptstätter Straße 149

70178 Stuttgart

+49 711 72240 145

job@davinci.de

Zur Stellenübersicht
Jetzt bewerben