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
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Kontaktdaten für Stellenanzeige
Herr Zlatan Toromanovic
Da Vinci Engineering GmbH
Hauptstätter Straße 149
70178 Stuttgart