Staff AI Engineer
Tasks
- Build scalable prototypes
- Define boundaries between learned and rule based components
- Define component interfaces and contracts
- Ensure reliability explainability observability and auditability
- Evaluate integration trade offs and delivery sequencing
- Guide technical decision-making
- Identify and mitigate architectural risks
- Implement and maintain code
- Own AI system architecture
- Translate research ideas into production designs
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Agentic Systems | Auditability | Azure | C# | Databricks | Decision support | Explainability | LLM orchestration | Latency optimization | MLflow | Machine Learning | Model Evaluation | NET | Observability | Orchestration | Probabilistic Modeling | Python | Recommender Systems | Reliability Engineering | Rule-based | Rule-based Systems | Tool use | Uncertainty Quantification
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Staff AI Engineer
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