Senior AI Software Development Engineer

Job Summary

Senior AI Software Development Engineer

F5 Digital is executing an enterprise-scale Agentic AI transformation to enable secure, observable, and production-grade AI agents across the organization. We are seeking a Senior AI Software Development Engineer to lead the implementation, rollout, and optimization of high-code agent development and orchestration frameworks, as well as enterprise AI integrations, as part of our Gemini rollout and adoption.

This is a highly technical, hands-on engineering role. The Senior Engineer will develop scalable agentic systems, apply robust engineering standards for AI workflows, and support engineering teams across F5 in building production-ready agents using Gemini, Vertex AI, and internal AI platform infrastructure.

The ideal candidate has strong backend and distributed systems experience, solid hands-on familiarity with LLM architectures and agent frameworks, and a proven track record of writing secure, high-performance production code.

Key Responsibilities

• Agentic Architecture Orchestration
  • Build and optimize enterprise-grade agent orchestration frameworks supporting tool use, memory, RAG, agentic workflows and automation.
  • Develop patterns for multi-agent collaboration, event-driven execution, and workflow chaining across enterprise systems.
  • Implement standards for agent lifecycle management, state persistence, and context engineering.
• Gemini Vertex AI Integration
  • Integrate Gemini models via Vertex AI, ensuring secure, scalable API consumption and robust model routing.
  • Develop and maintain internal SDKs, abstractions, and reusable components to standardize Gemini usage across F5 teams.
  • Implement and refine prompt engineering, token efficiency, grounding strategies, and structured output patterns.
• High-Code Agent Enablement
  • Develop reference implementations and reusable libraries for high-code agents in Java, Python, Go, or TypeScript.
  • Implement secure integration patterns for agents interacting with Salesforce, Snowflake, SharePoint, ServiceNow, and internal APIs.
  • Build and maintain MCP (Model Context Protocol) servers and secure API integration gateways.
• Observability, Safety Governance
  • Build logging, tracing, telemetry, and evaluation pipelines for agent performance and reliability.
  • Apply safety guardrails including input/output validation, hallucination mitigation, prompt injection defenses, and policy enforcement.
  • Collaborate with Security to ensure secure data handling, RBAC enforcement, and compliance alignment.
• Developer Enablement Technical Support
  • Guide and support engineering teams adopting Gemini Code Assist, CLI workflows, and internal AI development platforms.
  • Create high-quality technical documentation, internal libraries, and code samples for developer teams.
  • Participate in code reviews and provide guidance for AI-enabled applications across F5.
• Performance Scalability
  • Optimize inference latency, parallelization, and cost management strategies across agent workflows.
  • Implement caching strategies, streaming responses, and batching techniques to improve throughput.
  • Conduct performance testing and benchmarking of agents/models across different workloads.

Required Qualifications

• 6+ years of experience in software engineering, with strong experience in distributed systems and backend architecture.
• Deep hands-on coding expertise in Python and at least one of: Go, Java, or TypeScript.
• Hands-on production experience with LLM-based systems, including prompt engineering, tool calling, RAG, embeddings, and agent frameworks.
• Experience with Vertex AI, Gemini APIs, OpenAI APIs, or similar enterprise AI platforms.
• Strong understanding of API design, microservices, and cloud-native architectures (Docker, Kubernetes).
• Experience building or integrating orchestration frameworks (e.g., LangChain, LlamaIndex, custom orchestration layers).
• Familiarity with vector databases, embedding pipelines, and retrieval strategies.
• Strong understanding of authentication, authorization, and enterprise security patterns.
• Proven ability to build robust, reusable code and clean APIs.

Preferred Qualifications

• Experience building multi-agent systems or autonomous workflow engines.
• Experience with model evaluation pipelines and AI quality metrics.
• Familiarity with structured output enforcement (JSON schemas, function calling).
• Experience working with enterprise data system…