Principal Ai Engineer

F5

Multiple Locations
Base: $186,400.00 - $279,600.00; bonus/equity: inc...
Agentic ai platform
Llm architectures and agent frameworks
Distributed systems expertise
F5 Digital is building an enterprise-scale Agentic AI platform to enable secure, observable, and production-grade AI agents across the organization

Job Summary

  • F5 Digital is building an enterprise-scale Agentic AI platform to enable secure, observable, and production-grade AI agents across the organization.
  • The Principal Engineer will design and implement scalable agentic systems, establish engineering standards for AI workflows, and enable engineering teams to build production-ready agents using Gemini, Vertex AI, and internal AI infrastructure.
  • This role will directly shape how F5 builds and scales agentic AI across engineering, sales, support, finance, and product teams, defining the technical foundation for AI development while ensuring enterprise-grade reliability, governance, and security.

Matching Summary

F5 Digital is building an enterprise-scale Agentic AI platform to enable secure, observable, and production-grade AI agents across the organization.

Salary

Base: $186,400.00 - $279,600.00; Bonus/Equity: Incentive compensation, bonus, restricted stock units; Benefits: Offered

Skills & Requirements

Must-have

  • Agentic AI platform
  • LLM architectures and agent frameworks
  • Distributed systems expertise
  • Enterprise AI integration
  • Production-grade AI agents
  • Secure API consumption

Nice-to-have

  • Multi-agent systems experience
  • AI safety and red-teaming
  • Cost modeling and inference optimization
  • Internal developer platforms

Key Requirements

  • 10+ years of experience in software engineering
  • Significant experience in distributed systems
  • Significant experience in backend architecture
  • Deep hands-on coding expertise in Python
  • Production experience with LLM-based systems
  • Experience with Vertex AI, Gemini APIs, or similar
  • Strong understanding of API design
  • Strong understanding of microservices
  • Strong understanding of Kubernetes
  • Strong understanding of cloud-native architectures
  • Experience building or integrating orchestration frameworks
  • Familiarity with vector databases
  • Familiarity with embedding pipelines
  • Familiarity with retrieval strategies
  • Strong understanding of authentication
  • Strong understanding of authorization
  • Strong understanding of enterprise security patterns

Work Rights

Not specified

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