Consultant·e Agentic & GenAI Engineer – Jeune diplômé·e (H/F)
Tasks
- Build multi-agent systems
- Conduct GenAI technical research
- Deploy GenAI platforms on cloud
- Deploy GenAI solutions
- Design GenAI solutions
- Develop AI agents
- Ensure model and data security
- Implement rag pipelines
- Monitor and observe model performance
- Orchestrate multi agents
- Set up LLMOps
- Set up MLOps
- Support compliance and governance
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Azure | Batch data | Batch data pipelines | CI/CD | Cloud platform | Data Governance | Data Lakehouse | Data Pipelines | Embeddings | GDPR | Google Cloud | Google Cloud Platform | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG Pipelines | Retrieval-Augmented Generation | Security | Semantic Kernel | Streaming Data | Streaming data pipelines | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | GenAI Engineer
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