Staff Forward Deployed Engineer, Developer AI, Google Cloud
Tasks
- Architect AI integration with customer infrastructure
- Automate incident to fix loops
- Automate review loops
- Build agentic AI applications
- Build spec to pull request pipelines
- Define success metrics
- Deploy LLM and agent systems in production
- Design and deploy agentic developer workflows
- Develop APIs/Integrations
- Execute language migrations
- Identify SDLC bottlenecks with customers
- Implement A2A interoperability
- Implement MCP protocol interoperability
- Integrate agent systems with ISV tools
- Perform large scale refactors
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | API Integration | Agent systems | Agentic Systems | CI/CD | Cloud Computing | Command Line | Command-line Interface | Cost profiling | DevOps | DevSecOps | Evaluation | Gemini | Incident Management | LLM Deployment | Language Migration | Language Models | Large Language Models | Latency profiling | MCP | Memory Management | Multi-Agent | Multi-Agent Systems | Orchestration | Programming | Prototyping | Pull Request Automation | Pull request | Refactoring | SDK | SDLC | Security | State management | Tracing | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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