Applied AI Engineer
Tasks
- Architect AI agent solutions
- Build and deploy production AI systems
- Build human review workflows
- Collaborate with product and engineering teams
- Conduct model and prompt optimization
- Create golden datasets for evaluation
- Create safety guardrails for AI systems
- Define quality metrics for LLM systems
- Design scalable data pipelines
- Detect and prevent quality regressions
- Develop Python and SQL solutions
- Implement AI monitoring and observability
- Optimize AI systems using production traces
- Partner with customer data science teams
- Run systematic evaluation loops
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Ablation Testing | Agentic Workflows | Azure | B testing | Evaluation | Google Cloud | Human review | Language Models | Large Language Models | MLOps | Model Deployment | Model Monitoring | NumPy | Observability | Offline evaluation | Pandas | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Safety | Snowpark
Education
Regions
Countries
States
Cities
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