AI Platform Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Sat, Sep 19, 2026
This job expires in: 30 days
Job Summary
To support client teams in deploying AI applications securely and efficiently, the remote AI Platform Engineer will design, build, and operate scalable cloud platforms, collaborating closely with cross-functional teams to enhance platform reliability and reduce deployment friction.
Key Responsibilities
- Deploy, operate, and secure AI infrastructure, including LLM serving and vector stores
- Design and implement cloud architectures and build CI/CD pipelines for deployment automation
- Collaborate with development, DevOps, and security teams to optimize cloud resources and ensure compliance
Required Qualifications
- 3-8 years of hands-on experience in platform, infrastructure, DevOps, or cloud engineering
- Familiarity with LLM APIs, vector databases, and AI-assisted development tools
- Strong proficiency in at least one cloud platform (AWS, Azure, GCP) and infrastructure-as-code tools
- Experience with Kubernetes, Docker, and CI/CD pipeline design
- Proficiency in scripting languages (Python, Bash, Go) and Linux/Unix administration fundamentals
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