Customs AI Integration & Automation Engineer (France)
Tasks
- Build tool calling agents
- Create evaluation processes
- Customize AI agents
- Design generative AI workflows
- Develop AI solutions
- Ensure privacy security and AI governance compliance
- Implement retrieval-augmented generation
- Implement structured extraction
- Integrate large language models into production
- Manage pilots and rollout criteria
- Monitor inference cost
- Monitor latency and business impact
- Monitor model performance
Perks/Benefits
- Certification budget
- Conference budget
- Hybrid work
- Model compute cost support
- Permanent role
- Professional growth
Skills/Tech-stack
API Development | AWS Bedrock | Azure AI | Continuous Delivery | Continuous Integration/Continuous Delivery | Continuous integration | Cost Optimization | Data Pipelines | Google Vertex | Google Vertex AI | Human-in-the-loop | Inference Cost | Inference cost optimization | Language Models | Large Language Models | Latency optimization | Observability | Prompt engineering | Python | Regression testing | Retrieval-Augmented Generation | SQL | Structured Output | Testing | The Loop | Tool-Calling | Vertex AI
Education
N/A
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