Forward Deployed Engineer, GenAI, Google Cloud
Tasks
- Architect scalable AI systems
- Assess data readiness
- Build RAG-architectures
- Build data pipelines
- Build evaluation pipelines
- Build production AI solutions
- Develop agentic workflows
- Ensure accuracy safety latency
- Identify repeatable field patterns
- Implement observability frameworks
- Implement vector databases
- Integrate AI APIs with customer infrastructure
- Lead technical discovery sessions
- Manage state management issues
- Mentor engineers
- Serve as lead developer for AI applications
- Solve integration complexities
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent systems | Cloud platform | Cost Per Request | Data Pipelines | Evaluation | Google Cloud | Google Cloud Platform | LLM metrics | Language Models | Large Language Models | MCP | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG | Retrieval-Augmented Generation | State management | Tokens Per Second | Tracing | TypeScript | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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