Forward Deployed Engineer III, Google Cloud Consulting (German)
Tasks
- Architect AI integration using APIs
- Build agentic workflows
- Build observability frameworks
- Create model evaluation pipelines
- Create reusable modules
- Deploy AI solutions to production
- Develop multi-agent systems
- Identify field patterns and friction points
- Implement MLOps and DevOps pipelines
- Implement state management
- Improve data readiness
- Optimize accuracy safety and latency
- Solve integration complexities
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agent systems | Cost Per | Cost Per Request | CrewAI | Data Processing | DevOps | Generative AI | Hierarchical delegation | Langgraph | Language Models | Language Processing | Large Language Models | Latency optimization | MCP servers | MLOps | Machine Learning | Model Context Protocol | Model Deployment | Model Evaluation | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | OAuth | OAuth Authentication | OAuth Based Authentication | OAuth Token Handling | OAuth token | Observability | Python | React | Secure Workflow | State management | Token handling | Tokens Per Second | Tool-Calling
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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