Ingénieur en IA / AI Engineer
Tasks
- Architect Gemini integration
- Architect Vertex AI workflows
- Build secure API layers for function calling
- Deploy models to Cloud Run
- Deploy models to GKE
- Design modular AI services
- Engineer model routing middleware
- Implement agentic AI workflows
- Implement semantic caching
- Manage token budgeting
Perks/Benefits
- Collaborative environment
- Equipment provision
- Gym membership allowance
- Learning budget
- Medical insurance
- Paid Holidays
- Paid parental leave
- Startup environment
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
BigQuery | Cloud Run | Cloud platform | Distributed Systems | Function Calling | GKE | Gemini | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Machine Learning | PubSub | RAG | Semantic Caching | Token budgeting | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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