Senior AI Infrastructure Engineer - Internally Deployed

Jobicy

United States

Remote

USD 160.000 - 210.000

Vollzeit

Vor 9 Tagen

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Zusammenfassung

ClickUp is seeking a Senior Software Engineer for Internally Deployed AI products. You will own the MCP server platform, agent orchestration, and internal tooling used across GTM. The role emphasizes AI-native development, secure access controls, and scalable production systems.

You will work with TypeScript/Node.js, Python automation, AWS services, and LLM APIs to ship reliable, production-grade features while mentoring engineers and documenting best practices for internal AI tooling.

Qualifikationen

  • 5+ years of professional software engineering experience with production systems.
  • Expert-level TypeScript and Node.js with typed server-side code.
  • Strong Python for automation and data tooling.
  • AWS deployment experience including Lambda and Bedrock.
  • Experience integrating with LLM APIs and shipping AI-powered features.
  • REST API design, OAuth 2.0 / OIDC authentication, and secure credentials.
  • CI/CD, infrastructure-as-code (Terraform / CDK / SAM).
  • Clear written communication and ability to mentor others.

Aufgaben

  • Own MCP server platform design, build, and operations for AI-driven GTM workflows.
  • Develop agent orchestration and internal tooling used by hundreds of employees.
  • Implement secure authentication, RBAC, and data access controls.
  • Maintain observability, logging, tracing, and latency targets.
  • Collaborate across GTM and Systems teams on API standards and data contracts.
  • Mentor junior engineers and document engineering practices for AI-native development.

Kenntnisse

TypeScript
Node.js
Python
AWS
REST API design
OAuth 2.0 / OIDC
CI/CD
Terraform
React
LLM APIs

Tools

AWS Bedrock
Lambda
ECS/Fargate
API Gateway
Okta
Terraform
CDK / SAM
CloudWatch

Jobbeschreibung

ClickUp is seeking a Senior Software Engineer for Internally Deployed AI products. You will own the MCP server platform, agent orchestration, and internal tooling used across GTM. The role emphasizes AI-native development, secure access controls, and scalable production systems.

You will work with TypeScript/Node.js, Python automation, AWS services, and LLM APIs to ship reliable, production-grade features while mentoring engineers and documenting best practices for internal AI tooling.

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