AI Platform Engineer

Description: Build and manage the MCP fleet, ensuring security and patching for self-hosted and managed servers. Own the agent platform, enabling other teams to deploy agents independently. Co-own the Bedrock runtime and gateway, managing access, cost attribution, and content-filtering. Develop visibility for AI spend and usage through a pipeline to Snowflake. Simplify secure paths for non-technical employees through MDM config and AI automations. Implement governance in the platform, ensuring data sensitivity and auditability. Requirements: 6+ years in software engineering, platform engineering, or DevOps with production ownership experience. Proficient in AWS services (IAM, ECS, Lambda, CloudWatch) and VPC knowledge. Full-stack development experience, including backend services, APIs, and CI/CD. Ability to build from scratch, not just integrate existing solutions. Hands-on experience with LLMs, including API usage and prompt engineering. Self-directed with the ability to clarify and execute on vague tasks. Benefits: Extra days off to prioritize well-being. 401(k) plan with a 3% company match. Maternity and parental leave. Mental health support through the Modern Health app. Comprehensive health benefits for employees and their families.