AI Engineer

Propertyvalue Da Vinci Engineering Gmbh
Stuttgart, Germany
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior

Job location

Stuttgart, Germany

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Python
Next.js
Search Technologies
Software Engineering
Google Cloud Platform
Large Language Models
Build Management
Containerization
Kubernetes
Information Technology
Machine Learning Operations
Api Design
Data Pipelines
Docker

Job description

  • 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

Requirements

  • 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

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

About the company

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

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