Staff Forward Deployed Engineer, Developer AI, Google Cloud
Tasks
- Architect integrate AI products with customer infrastructure
- Build spec to pull request pipelines
- Define success metrics
- Deploy agentic AI workflows to production
- Design and deploy production grade agentic developer workflows
- Identify software development lifecycle bottlenecks
- Implement automated review and incident to fix loops
- Integrate agentic systems with customer tools
- Refactor and migrate code and languages
- Use MCP and A2A protocols
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | Agent Development Kit | Agent systems | Agentic Systems | Cloud APIs | Code Assist | Continuous integration | Cost Optimization | Cost Per | Cost Per Request | CrewAI | DevSecOps | Evaluation | Gemini Code Assist | Google Agent Development Kit | Langgraph | Language Models | Large Language Models | Latency optimization | MCP | Multi-Agent | Multi-Agent Systems | Orchestration | Security | State management | Token metrics | Tracing | Vertex AI
Education
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