AI Engineer
Tasks
- Build agentic AI components
- Build evaluation harnesses
- Develop prompts as versioned testable artifacts
- Implement automated testing and validation
- Implement memory and context management
- Implement retrieval-augmented generation
- Implement tool using agents
- Instrument performance usage cost to serve
- Integrate AI logic into APIs and services
- Monitor model drift and degradation
- Package and deploy AI components to production
- Troubleshoot production issues and optimize
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | DevOps | Embeddings | GCP | Generative AI | LLM | Linux | MLOps | Memory Management | Microsoft Power | Microsoft Power Automate | Monitoring | Observability | Oracle | Power Automate | Power BI | Prompt engineering | Python | Retrieval-Augmented Generation | SQL Server | UiPath | UiPath Orchestrator | Vector Databases | Windows server
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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