Forward Deployed Engineer, Higher Education, Google Public Sector
Tasks
- Architect integrations between AI products and customer infrastructure
- Build evaluation pipelines for AI accuracy safety and latency
- Build production-grade AI applications
- Convert field patterns into reusable modules
- Create observability frameworks for agentic systems
- Develop scalable data pipelines for structured and unstructured data
- Implement cloud native scalable AI systems
- Lead technical discovery with executive stakeholders
- Transition prototypes to production agentic workflows
Perks/Benefits
Skills/Tech-stack
API Integration | Agent systems | BigQuery | CI/CD | CrewAI | Data Engineering | Kubeflow | Langgraph | Language Models | Language Processing | Large Language Models | ML operations | MLflow | Machine Learning | Model Quantization | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | Python | RAG | React | TypeScript | Vector Database | Vertex AI
Education
Roles
AI | AI Engineer | Deployed Engineer | Engineer | Forward Deployed Engineer
Regions
Countries
States
Cities
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