Are you looking to grow your career in AI Engineering while working with cutting-edge Generative AI technologies and real-world business challenges?
We’re looking for a AI Engineer to contribute to the development of AI-powered solutions across Mercedes-Benz business units. You’ll work closely with Senior Engineers on innovative proof of concepts (PoCs), building and integrating AI solutions in cloud environments using AWS and/or Azure.
? What you’ll do
- Develop AI-powered solutions using LLMs, Generative AI and RAG architectures
- Build components for enterprise assistants, copilots and conversational AI applications
- Implement Agentic AI workflows to automate business processes
- Develop and integrate AI components using Python and APIs
- Work with cloud AI services across AWS and/or Azure
- Support the deployment, testing and monitoring of AI solutions
- Contribute to CI/CD and MLOps practices
- Collaborate with Senior Engineers and cross-functional teams to explore new technologies and evaluate PoCs
? What we’re looking for
- 2–4 years of experience in AI/ML Engineering or a related technical role
- Hands-on experience with Generative AI, LLMs and RAG
- Knowledge of Agentic AI frameworks, such as LangGraph, Google ADK, LangChain or similar
- Strong working knowledge of Python and experience developing and integrating APIs
- Experience working with LLMs such as OpenAI, Claude, Gemini or equivalent
- At least 1 year of experience with AWS and/or Azure
- Familiarity with CI/CD, AI deployment and monitoring practices
- Understanding of solution architecture and how AI components integrate with APIs, data and cloud infrastructure
- Ability to work autonomously while collaborating with Senior Engineers
- Curiosity, adaptability and a proactive approach to experimentation and continuous learning
- Good communication and teamwork skills
- English B2/C1
- German is a plus
✨ Nice to have
- Experience with MCP (Model Context Protocol) and vector databases
- Knowledge of ML frameworks such as PyTorch, TensorFlow or Hugging Face
- Familiarity with AWS Bedrock, SageMaker or Azure OpenAI
- Experience with Docker, Kubernetes or MLOps tools
- A degree in Computer Science, AI, Data Science or a related technical field
- Cloud or AI certifications
? Generative AI & Agentic AI
☁️ AWS / Azure cloud environments
? Innovation, experimentation and PoCs
? Technical growth and increasing ownership
? Enterprise AI use cases across multiple business domains
If you’re passionate about Generative AI and want to build practical AI solutions while learning from experienced engineers, we’d love to hear from you.