Expert AI/Machine Learning Engineer
Job Summary
Joining a cross-functional development team, the full-time Expert AI/Machine Learning Engineer will architect, build, and scale internal AI platforms and infrastructure, ensuring robust security measures while delivering production AI tooling for both technical and non-technical teams in a remote setting.
Key responsibilities
- Build, ship, and host internal AI platforms, custom skills, and agentic workflows accessible across the company
- Architect and manage scalable cloud hosting environments to support AI tools and automated execution pipelines
- Implement security measures and governance standards for AI systems, ensuring safe company-wide adoption
Required qualifications
- 10+ years of professional software development experience with a strong background in backend architectures
- Proficiency in modern backend programming languages such as Python, TypeScript/Node.js, Go, or Java
- Proven track record of building and maintaining production AI tooling, including MCP connectors and agentic workflows
- Deep understanding of AI security risks and secure credential handling practices
- Practical experience in managing cloud infrastructure (AWS, GCP, or Azure) for hosting AI tools and automation workflows
Complete Job Description
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