AI Platform Engineer
Job Summary
Working remotely in a full-time capacity, the AI Platform Engineer will build and manage the MCP fleet, oversee agent platform development, and enhance governance and automation across AI applications.
Key responsibilities
- Build and secure the MCP fleet, managing servers and the MCP registry for business applications
- Own the agent platform deployment patterns, ensuring observability and enabling other teams to ship agents independently
- Implement governance into the platform, enforcing data sensitivity workflows and maintaining model safety
Required qualifications
- 6+ years of experience in software engineering, platform engineering, or DevOps with production ownership
- Hands-on experience with AWS IAM, ECS or Lambda, CloudWatch, and VPC
- Full-stack capabilities in backend services, APIs, CI/CD, and containerized deployments
- Experience with LLMs, including API usage, prompt engineering, and agent development
- Ability to self-direct and manage underspecified tasks effectively
Complete Job Description
The complete job description is available to members. Premium membership includes:
Full access to 39,064 remote jobs from human-vetted companies, updated daily
Resume Builder - AI-powered tool to craft, enhance, and tailor your resume to a specific job
Twice-monthly live group coaching and the full Remote Career Center
20% member discount on Career Services
Backed by a 30-day money-back guarantee
Company Company Name
Headquarters Headquarters
Founded Founded
Website
The company description is available to members. Go Premium for full access to every job and company profile in our remote jobs database, backed by a 30-day money-back guarantee.
