AI Engineer
Tasks
- Build agentic AI components
- Build evaluation harnesses for accuracy relevance
- Deploy AI components to production environments
- Develop multi step reasoning execution flows
- Develop versioned testable prompts
- Implement automated testing for AI workflows
- Implement memory and context management
- Implement retrieval-augmented generation
- Implement tool using agents
- Instrument performance usage and cost
- Integrate AI logic into APIs and services
- Monitor model drift and degradation
- Optimize prompts and retrieval for accuracy latency and cost
- Translate architectural designs into code
- Troubleshoot production AI issues
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Azure | CI/CD | DevOps | Embeddings | Generative AI | Language Models | Large Language Models | MLOps | Memory Management | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Vector Databases | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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