AI Engineer
PHP 4375K-4375K (estimate) Senior-level Full Time
Tasks
- Build AI tool using agents
- Build RAG pipelines end to end
- Configure prompt and version governance for model providers
- Create production feature pipelines batch and real time
- Deploy machine learning models as APIs and batch jobs
- Develop and evaluate machine learning models
- Handle provider rate limits
- Implement MLOps CI/CD
- Implement human in the loop escalation
- Implement retrieval tool use loops with confidence scoring
- Monitor model drift and data quality
- Orchestrate agent workflows using graph or state machine patterns
- Set up experiment tracking and model registry
- Tune retrieval using hybrid search and reranking
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Search | Agentic AI | App Insights | Azure AI | Azure AI Search | Azure App | Azure App Insights | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Functions | Azure Key Vault | Azure Kubernetes | Azure Kubernetes Service | Azure OpenAI | Blob Storage | CI/CD | Cross-validation | Data Lake Storage | Data Quality | Data quality monitoring | Docker | Drift Detection | Evaluation datasets | FastAPI | Feature Engineering | Git | Google Gemini | Hybrid search | Key Vault | Kubernetes Service | LLM interfaces | Language Models | Large Language Models | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Registry | Model calibration | OpenAI | PyTorch | Python | Quality monitoring | RAG | Reranking | Scikit-learn | TensorFlow | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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