AI Engineer CV: the capabilities job ads ask for
For AI Engineer, the most frequently named capabilities are Large Language Models, Python, and Generative AI. Large Language Models appears in 74% of advertisements for this role.
Also advertised as: Agentic AI Engineer, Agentic Engineer, Agentic Engineering, Applied AI Engineer, KI-Engineer, and KI-Entwickler.
What AI Engineer advertisements ask for
Capabilities by their share of advertisements for this role. Add the ones you have to your profile.
| Capability | Share |
|---|---|
| Large Language Models | 74% |
| Python | 61% |
| Generative AI | 55% |
| Docker | 32% |
| Agentic AI | 29% |
| Azure | 29% |
| CI/CD | 29% |
| Git | 29% |
| Kubernetes | 29% |
| Prompt Engineering | 29% |
| Retrieval-Augmented Generation | 29% |
| SQL | 26% |
| Artificial Intelligence | 23% |
| Azure Databricks | 19% |
| Azure Machine Learning | 19% |
| Logging and Monitoring | 19% |
| MLOps | 19% |
| OpenAI | 19% |
| Terraform | 19% |
| Azure DevOps | 16% |
Levels asked for
Share of advertisements for this role that name each level.
- Senior 39%
Neighbouring roles
Explore other roles related to AI Engineer.
Questions about the AI Engineer role
Which capabilities belong in a AI Engineer CV?
Advertisements for AI Engineer frequently name Large Language Models, Python, and Generative AI. Large Language Models appears in 74% of them. Your profile should contain the capabilities you have.
Which roles are close to AI Engineer?
These roles are related to AI Engineer: Analytics Engineer, Cloud Engineer, Data Engineer, and DevOps Engineer.
Build a AI Engineer profile
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