AI Infrastructure Engineer — what the market wants
Based on 25 job postings · updated 6/3/2026.
Most in-demand skills
- Python88%
- SQL24%
- JavaScript16%
- Prompt Engineering16%
- C++12%
- AWS12%
- PyTorch12%
- TensorFlow12%
- Docker12%
- FastAPI8%
- Node.js8%
- Azure8%
Salary range
62,400–400,000 USD · median ~200,000
Common responsibilities
- Design and implement AI systems and applications
- Build and manage AI integrations and workflows
- Develop and optimize AI models and pipelines
- Lead technical direction and mentorship for engineers
- Implement observability and monitoring for AI systems
- Architect and build scalable AI solutions
- Collaborate with teams on AI development and standards
- Debug and improve AI performance and behavior
How do you measure up?
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