Senior Applied AI Engineer
Tasks
- Add observability and monitoring
- Build and maintain LLM solutions
- Conduct AI code reviews
- Deploy LLMs for R and D use cases
- Design AI workflows and tools
- Evaluate and benchmark LLMs
- Implement CI CD for AI systems
- Implement LLMOps best practices
- Improve team processes
- Lead AI project delivery
- Provide technical mentorship
- Use infrastructure as code
Perks/Benefits
- French language courses
- Health coverage
- Meal vouchers
- Mental health support
- Parental plan
- Remote work
- Subsidized fitness membership
- Transportation support
- Vacation plus RTT
Skills/Tech-stack
AWS | Agentic AI | Airflow | Azure | CI/CD | Code review | Docker | Evaluation Frameworks | Fine Tuning | GCP | Infrastructure as Code | LLMOps | Langchain | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model versioning | Monitoring | Observability | Prefect | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Testing | “as-code”
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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