Principal AI Software Development Engineer
- Compensation
- Not disclosed
- Location
- Hyderabad
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Full description
Job Description :
Role : Principal AI Software Development Engineer.
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Role Summary :
F5 Digital is building an enterprise-scale Agentic AI platform to enable secure, observable, and production-grade AI agents across the organization.
We are seeking a Principal AI Software Development Engineer to serve as the technical authority and hands-on architect for high-code agent development, orchestration frameworks, and enterprise AI integration during the Gemini rollout.
This is a deeply technical individual contributor role.
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.
The ideal candidate has strong distributed systems expertise, deep familiarity with LLM architectures and agent frameworks, and the ability to translate AI theory into secure, production-grade implementations.
Key Responsibilities : Agentic Architecture & Orchestration :
- Design and implement enterprise-grade agent orchestration frameworks supporting tool use, memory, RAG, agentic workflows and automation.
- Establish patterns for multi-agent collaboration, event-driven execution, and workflow chaining across enterprise systems.
- Define standards for agent lifecycle management, state persistence, and context engineering.
Gemini & Vertex AI Integration :
- Lead technical integration of Gemini models via Vertex AI, ensuring secure, scalable API consumption and proper model routing.
- Develop internal SDKs, abstractions, and reusable components to standardize Gemini usage across F5 teams.
- Optimize prompt engineering, token efficiency, grounding strategies, and structured output patterns.
High-Code Agent Enablement :
- Build reference implementations and reusable frameworks for high-code agents in Java, Python, Go, or TypeScript.
- Establish secure integration patterns for agents interacting with Salesforce, Snowflake, SharePoint, ServiceNow, and internal APIs.