Staff Forward Deployed Engineer, Google Cloud Public Sector
Tasks
- Architect and code integrations between AI products and customer infrastructure
- Build evaluation pipelines for agentic systems
- Build observability frameworks for AI systems
- Co-build with customer engineering teams on development best practices
- Convert issues into reusable modules or product requests
- Ensure accuracy safety and latency requirements
- Identify field patterns and friction points in AI stack
- Lead development of AI applications
- Transition prototypes to production agentic workflows
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent systems | Cloud platform | Cost Optimization | Data readiness | Evaluation | Google Cloud | Google Cloud Platform | Hierarchical delegation | Language Models | Large Language Models | Latency optimization | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG | React | Retrieval-Augmented Generation | Security clearance | Self-reflection | State management | Technical Discovery | Tracing | Vector Database | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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