AI Engineer
Tasks
- Build and maintain AI agents prompts retrieval pipelines decision logic
- Collaborate with Data Engineering on infrastructure CI CD data pipelines security governance
- Define and track AI success metrics accuracy resolution rate time saved
- Design production AI workflows
- Diagnose poor outcomes and improve decision quality
- Evaluate model performance using evaluation frameworks
- Implement orchestration logic with triggers retries fallbacks human in the loop
- Incorporate real world feedback loops and usage data
- Integrate workflows across internal systems
- Monitor and manage model behavior in production
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | CI/CD | Deep learning | Distributed Systems | Human-in-the-loop | Information Retrieval | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | Orchestration | Prompt engineering | Python | The Loop
Education
N/A
Roles
AI | AI Engineer | Engineer
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