AI Platform Developer

Saxon Global • Richardson, TX

13d

About The Position

This Senior Engineer drives the implementation of an organization's responsible AI and agentic systems strategy through scalable infrastructure, automated delivery pipelines, production-grade operational practices, and engineering standards. The role combines hands-on AI platform engineering with governance, observability, secure deployment, and technical leadership across engineering teams.

Requirements

• 8-10 years of software engineering experience, including at least 7 years building and operating production systems in cloud environments and hands-on experience deploying AI/ML services into production.
• 2-3 years of experience utilizing AI-assisted development tools (for example, Claude Code, Codex, Cursor, GitHub Copilot, or similar) to accelerate platform development, deployment, testing, troubleshooting, and documentation.
• Strong experience with AWS, GCP, Azure, hybrid cloud, or on-premises infrastructure; Docker, Kubernetes, GitHub Actions or equivalent CI/CD tooling, Terraform, and Helm.
• Working knowledge of authentication and authorization technologies, including OAuth 2.0, OpenID Connect (OIDC), SAML, JWT, Role-Based Access Control (RBAC), and Identity and Access Management (IAM).
• Experience implementing workload identity, service-to-service authentication, and securing API and tool access.
• 4+ years of scripting and automation experience, preferably with Python and JavaScript, including troubleshooting across Linux, containers, Kubernetes, networking, and distributed production systems.
• Ability to architect secure and cost-efficient hosting solutions for open-source large language models (LLMs) in cloud, private cloud, or on-premises environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed