Ingénieur IA – Large Language Models (LLM)
Tasks
- Add lineage tracking for model and data
- Assemble prompts and manage context windows
- Build fine tuning pipelines with transformer architectures
- Build memory components for conversation history
- Create ingestion pipelines for unstructured enterprise content
- Design develop agent workflows
- Detect and redact personally identifiable information
- Develop fine tuning data preparation and training
- Enforce access control for models and tools
- Evaluate agents with quality metrics
- Generate embeddings and build vector search indexes
- Implement guardrails and prompt injection protections
- Implement retrieval-augmented generation pipelines
- Implement versioning and audit logging
- Instrument logging and tracing for requests and tool calls
- Integrate foundation models into applications
- Maintain technical documentation for components
- Monitor alert and manage inference cost and performance
- Orchestrate agent task transfers and recovery
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Agentic AI | Alerting | Audit Logging | Cloud Platforms | Consumption Tracking | Data redaction | Deep learning | Embeddings | Fine Tuning | Generative AI | Language Models | Language Processing | Large Language Models | Lineage Tracking | Logging | Machine Learning | Model Serving | Monitoring | Natural Language | Natural Language Processing | PII Detection | Prompt engineering | Prompt injection | Python | Retrieval-Augmented Generation | Token consumption | Token consumption tracking | Tracing | Transformers | Vector Databases | Vector storage
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